From georgiou@wiley.csusb.edu Mon Nov 11 00:33:50 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id AAA01684 for ; Mon, 11 Nov 1996 00:33:44 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id AAA28604 for ; Mon, 11 Nov 1996 00:33:42 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa23251; 11 Nov 96 0:07:17 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa23249; 10 Nov 96 23:49:22 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa05194; 10 Nov 96 23:48:45 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa11947; 10 Nov 96 20:33:14 EST Received: from wiley.csusb.edu by EDRC.CMU.EDU id aa12861; 10 Nov 96 20:32:49 EST Received: (from georgiou@localhost) by wiley.csusb.edu (8.6.11/8.6.11) id QAA09683; Sun, 10 Nov 1996 16:31:54 -0800 Date: Sun, 10 Nov 1996 16:31:54 -0800 Message-Id: <199611110031.QAA09683@wiley.csusb.edu> From: georgiou@wiley.csusb.edu To: connectionists@cs.cmu.edu Subject: LCFP: ICCIN'97 Deadline Revision Please note the revised deadline for submissions: December 6, 1996. It was changed by popular demand so that it be in line with the deadline of the general JCIS'97 Conference. ------------------------------------------------------------------------ Last Call for Papers 2nd International Conference on COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE http://www.csci.csusb.edu/iccin Sheraton Imperial Hotel & Convention Center Research Triangle Park, North Carolina March 2-5, 1997 Conference Co-chairs: Subhash C. Kak, Louisiana State University Jeffrey P. Sutton, Harvard University This conference is part of the Third Joint Conference Information Sciences. Plenary Speakers include the following: James S. Albus James Anderson Roger Brockett Earl Dowell David E. Goldberg Stephen Grossberg Y. C. Ho John H. Holland Zdzislaw Pawlak Lotfi A. Zadeh Areas for which papers are sought include: o Artificial Life o Artificially Intelligent NNs o Associative Memory o Cognitive Science o Computational Intelligence o Efficiency/Robustness Comparisons o Evaluationary Computation for Neural Networks o Feature Extraction & Pattern Recognition o Implementations (electronic, Optical, Biochips) o Intelligent Control o Learning and Memory o Neural Network Architectures o Neurocognition o Neurodynamics o Optimization o Parallel Computer Applications o Theory of Evolutionary Computation Summary Submission Deadline: December 6, 1996 Decision & Notification: January 1, 1997 Send summaries to: George M. Georgiou Computer Science Department California State University San Bernardino, CA 92407-2397 georgiou@csci.csusb.edu More information on Conference Web site: http://www.csci.csusb.edu/iccin From oby@cs.tu-berlin.de Mon Nov 11 11:28:40 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id LAA08128 for ; Mon, 11 Nov 1996 11:28:28 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id LAA04571 for ; Mon, 11 Nov 1996 11:28:23 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa23988; 11 Nov 96 10:01:28 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa23986; 11 Nov 96 9:53:24 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa05620; 11 Nov 96 9:52:50 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa20092; 11 Nov 96 7:28:56 EST Received: from mail.cs.tu-berlin.de by CS.CMU.EDU id aa04747; 11 Nov 96 7:26:47 EST Received: from pollux.cs.tu-berlin.de (oby@pollux.cs.tu-berlin.de [130.149.31.31]) by mail.cs.tu-berlin.de (8.6.13/8.6.12) with ESMTP id NAA17161 for ; Mon, 11 Nov 1996 13:26:42 +0100 From: Klaus Obermayer Received: (from oby@localhost) by pollux.cs.tu-berlin.de (8.8.2/8.7.3) id NAA11116 for Connectionists@CS.CMU.EDU; Mon, 11 Nov 1996 13:26:36 +0100 (MET) Date: Mon, 11 Nov 1996 13:26:36 +0100 (MET) Message-Id: <199611111226.NAA11116@pollux.cs.tu-berlin.de> To: Connectionists@cs.cmu.edu Subject: Visual Cortex Workshop The Graduiertenkolleg "Signalling Chains in Living Systems" (Randolf Menzel, PI) is organizing a visual cortex workshop which takes place in Berlin, Germany, in December. The theme of the workshop is the interaction between experimentalists and modellers in the area of biological vision. Participation is free, and all interested people are wellcome. The workshop is sponsored by the German Science Foundation via the Graduiertenkolleg, by HFSPO and by the FU and TU Berlin. Klaus Obermayer ****************************************************************** ****************************************************************** Workshop on Experiments and Models of Visual Cortex Friday, 13th of December, 1996 Institute for Computer Science, Free University of Berlin, Takustrasse 9, 14195 Berlin, Germany ------------------------------------------------------------------ PROGRAM: 9.00 Wellcome and Introduction 9.10 Ulf Eysel, U. Bochum, Lateral signal processing, response specificity and maps in the visual cortex. 10.00 David Somers, MIT, Local and long-range circuit modeling of primary visual cortex. 10.50 - 11.10 Break 11.10 Jack Cowan, U. Chicago, A simple model of orientation tuning and its consequences. 12.00 Bartlett Mel, USC, Translation-invariant orientation tuning in visual `complex' cells could derive from intradendritic computations. 12.50 - 14.30 Lunch 14.30 Rodney Douglas, ETH Zuerich, Computational principles in the microcircuits of the neocortex. 15.20 Nikos Logothetis, Baylor College, On the neural mechanisms of perceptual multistability. 16.10 - 16.30 Break 16.30 Heinrich Buelthoff, MPI biol. Kybernetik, The view-based approach to high level vision. 17.20 Dana Ballard, U. Rochester The visual cortex as a hierarchical Kalman predictor. 18.10 Adjourn ------------------------------------------------------------------ Abstracts and further information can be obtained via WWW at: http://www.kon.cs.tu-berlin.de/colloq/symposium-dec96.html ------------------------------------------------------------------ Prof. Klaus Obermayer phone: 49-30-314-73442 FR2-1, KON, Informatik 49-30-314-73120 Technische Universitaet Berlin fax: 49-30-314-73121 Franklinstrasse 28/29 e-mail: oby@cs.tu-berlin.de 10587 Berlin, Germany From pazzani@super-pan.ICS.UCI.EDU Tue Nov 12 05:47:14 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id FAA13348 for ; Tue, 12 Nov 1996 05:47:08 -0600 Received: from paris.ics.uci.edu (paris.ics.uci.edu [128.195.1.50]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id FAA19647; Tue, 12 Nov 1996 05:46:59 -0600 Received: from super-pan.ics.uci.edu by paris.ics.uci.edu id aa19701; 11 Nov 96 22:38 PST To: ML-LIST:; Subject: Machine Learning List: Vol. 8, No. 18 Reply-to: ml@ics.uci.edu Date: Mon, 11 Nov 1996 22:07:07 -0800 From: Michael Pazzani Message-ID: <9611112238.aa19701@paris.ics.uci.edu> Machine Learning List: Vol. 8, No. 18 Tuesday, Novemeber 11, 1996 Contents: online NIPS Registration is now available Learning with skewed class distributions CFP: Special Machine Learning issue on applications of ML NEW TEXTBOOK IN MACHINE LEARNING job offer for research programmer at AT&T Labs Theoretical Aspects of Neural Computation (TANC-97) Call for papers: COLT '97 First Call For Papers Short-term postdoc opening: Neural modeling of visual perception Neural Networks Session at SCI'97, Venezuela CDC97 conference announcement KBCS-96 Call for Participation CFP: Adaptive Behavior in Animats 3 New GP Papers -Corrected GP-97 CFP (Updated) Learning Methods for Prediction, Classification, Modern Regression and Classification The Machine Learning List is moderated. Contributions should be relevant to the scientific study of machine learning. Mail contributions to ml@ics.uci.edu. Mail requests to be added or deleted to ml-request@ics.uci.edu. Back issues may be obtained from http://www.ics.uci.edu/AI/ML/Machine-Learning.html ---------------------------------------------------------------------- From: Sue Becker Date: Fri, 25 Oct 1996 09:16:24 -0400 (EDT) Subject: online NIPS Registration is now available A form has now been set up for online registration for NIPS*96, which allows payment by credit card. The url is: http://www.cs.cmu.edu/Groups/NIPS/NIPS96/Registration.html Sue Becker Publicity Chair, NIPS*96 ------------------------------ From: Tom Fawcett Date: Thu, 7 Nov 96 16:19:22 EST Subject: Learning with skewed class distributions I'm looking for pointers to classification work dealing with skewed distributions, where one class is more prevalent than another in an instance population. Specifically: - Are any ML techniques designed to be effective with skewed distributions? - Has anyone analyzed how algorithms perform when they're trained on one distribution and tested on another? - Does any work combine distribution sensitivity with cost sensitivity? I'm especially interested in ML work, but I'd also like to hear about relevant work in statistics and computational learning theory. Thanks, -Tom (fawcett@nynexst.com) ------------------------------ From: Ronny Kohavi Date: Wed, 30 Oct 1996 23:08:55 -0800 Subject: CFP: Special Machine Learning issue on applications of ML Call For Papers Machine Learning Special Issue on Applications of Machine Learning and the Knowledge Discovery Process Guest editors: Ronny Kohavi and Foster Provost With the explosion in size of business and scientific databases (VLDBs), the opportunities and pressure to mine the data and make novel discoveries have increased dramatically. For many problems, basic statistical summaries are not sufficient and there is a clear and recognized need for solutions involving a machine learning component. For example, modern businesses constantly seek to gain competitive advantage by tailoring actions to different customer segments and avoiding the trap of targeting the "average customer." This special issue of the journal Machine Learning will be dedicated to papers describing work in which machine learning technologies have been applied to solve significant real-world problems. In particular, it will focus on the application of Machine Learning technology, the simplifying assumptions that *cannot* be made in a real-world application, and the processes that are involved in going from the raw data to the final knowledge that decision makers seek. --------------- Scope --------------- High quality, original papers that address applications of machine learning technologies to significant, real-world problems are solicited. Authors are required to describe the papers' scientific contributions clearly. We actively solicit papers that address contributions not normally published in the machine learning literature, including (but not limited to): - - Applications of machine learning to real-world significant problems: successes, failures, limitations, and lessons learned. - - The knowledge discovery process: it is estimated that only 20% of the overall process is spent on running machine learning algorithms. What other things were done? What lessons were learned? Which parts of the overall process could be improved and perhaps automated? - - A novel solution to a non-trivial _class_ of applications. Such a paper would include: a description of the class of applications, detailing why they are different from previously solved applications; an "existence proof" on one member of the class; and a solid argument as to the generality of the solution for the class of applications. - - The identification of a number of assumptions normally made within machine learning research that cannot be made for this application, and a thorough description of how they were addressed (simultaneously) to engineer a working solution. - - A principled study of the relaxation of important assumptions necessary for the solution to the problem. - - Novel uses of existing algorithms and modifications to broaden their scope and overcome limitations and assumptions that hinder their use in real applications. Authors should address the following issues, when relevant: - - The real-world problem and its formulation as a machine learning task. How significant was the problem? - - Who are the users of the learned knowledge? Who "paid" for the work? How did their requirements constrain the knowledge discovery effort? How was success to be determined and was the expected payoff estimated in advance? - - The data selection process. Was a sampling process used or were all the data used? What were reasons for limiting the amount of data (resource constraints, simplicity of result, learning curve flattened early)? - - Data transformations. How were the raw data transformed into formats suitable for existing algorithms? What processes were required, why were certain transformations done, and were others tried? Examples: data cleaning, missing values, data transformations, aggregrations, group signatures/profiles, denormalization, and feature construction. - - Why were specific algorithms chosen, and which others were tried? - - What role did background knowledge play and how has it affected the process? - - What were the post-processing operations? How were the results explained to users (visualizations, dimensionality reduction, explanations, what-if scenarios, sensitivity analyses)? - - How did the results affect the target users? Was the mining done repeatedly, or was this a one-shot task? Was the learned knowledge or the learning system fielded and integrated in other processes? The contribution of each paper should be sufficient to lay the groundwork for future work on the topic. Future applied work can build on the initial solutions described; future academic work can explore the exposed assumptions in depth and provide more principled solutions. We encourage authors to suggest "challege problems" for future academic work. For example, can a useful "transformation language" be developed in a manner similar to the role relational calculus has served for relational databases? We hope that by providing the machine learning community with such a forum, we can stimulate the applied/academic cycle that is important for the healthy growth of a scientific field. --------------- Submission Requirements --------------- The Machine Learning journal is published by Kluwer Academic Publishers. Electronic submissions are ENCOURAGED; postscript copies may be e-mailed to mljapps@postofc.corp.sgi.com. Latex style file and related files available via anonymous ftp from ftp.std.com in Kluwer/styles/journals. For non-electronic submissions, send six (6) copies of the papers as indicated: Five (5) copies to: One (1) copy to: Mrs. Karen Cullen Ronny Kohavi MACHINE LEARNING Silicon Graphics, Inc, M/S 8U-876 Kluwer Academic Publishers 2011 N. Shoreline Boulevard 101 Philip Drive Mountain View, CA 94043 Assinippi Park Norwell, MA 02061 E-mail: ronnyk@sgi.com Tel: 415-933-3126 Manuscripts should be no longer than 8000-12000 words with full-page figures counting for 400 words. Shorter submissions, including technical notes are also solicited. The title page should include names, affiliations, and complete address including daytime telephone number and an electronic e-mail address of the contact author. Include a brief, one-paragraph abstract of 100-200 words and a list of keywords. Submissions must not have appeared in, nor be under consideration by, other journals. --------------- Important Dates -------------------- Submission deadline: 4 Mar 1997 Acceptance notification: 3 June 1997 ** Review criteria and further details will be sent in the future. Specific questions and clarifications should be sent to mljapps@postofc.corp.sgi.com ------------------------------ From: Tom Mitchell Date: Thu, 31 Oct 1996 11:18:59 -0500 Subject: NEW TEXTBOOK IN MACHINE LEARNING MACHINE LEARNING, Tom M. Mitchell, McGraw Hill, 1997. This new textbook provides a comprehensive treatment of the field of Machine Learning. The chapter outline is 1. Introduction 2. Concept Learning and the General-to-Specific Ordering 3. Decision Tree Learning 4. Artificial Neural Networks 5. Evaluating Hypotheses 6. Bayesian Learning 7. Computational Learning Theory 8. Instance-Based Learning 9. Genetic Algorithms 10. Inductive Logic Programming 11. Analytical Learning 12. Combining Inductive and Analytical Learning 13. Reinforcement Learning For further information see http://www.cs.cmu.edu/~tom/mlbook.html FOR INSTRUCTORS TEACHING JANUARY 1997: The hardcopy book will be available on February 14, 1997. If you choose to adopt the text, McGraw Hill will make available any chapters you require before February 14, and grant permission to duplicate these for your class. Inspection copies are now available from McGraw Hill for instructors considering adoption for the spring 1997 semester. Contact emunson@mcgraw-hill.com for requests. ------------------------------ From: William Cohen Date: Fri, 25 Oct 1996 14:11:58 -0400 (EDT) Subject: job offer for research programmer at AT&T Labs The department of Machine Learning and Information Retrieval Research in AT&T Labs has an immediate opening for a research programmer. This is a limited term (1-2) year position. Applicants should have a BS or MS degree in computer science and experience programming in C/C++ in a Unix environment. Experience with Java and Perl is desirable, as is a strong mathematical background is desirable. Some experience (e.g. projects or course work) in any of these areas is also desirable: machine learning, information retrieval, pattern recognition, neural networks, or artificial intelligence. Applicants should have an interest in building robust implementations of state-of-the-art methods for machine learning and text categorization, and in interacting with both research and development groups. AT&T Labs-Research is located in Murray Hill, NJ but will soon be moving to Florham Park, NJ. More information about AT&T Labs can be found at http://www.research.att.com. AT&T is an Equal Opportunity Employer. If interested, send your resume to the following address. (A pointer to a publically accessible web site is preferred.) William W. Cohen AT&T Labs-Research 600 Mountain Avenue Room 2A-427 Murray Hill, NJ 07974 email: wcohen@research.att.com WWW: http://www.research.att.com/~wcohen/ ------------------------------ From: Dit-Yan Yeung Date: Fri, 25 Oct 1996 15:06:20 +0800 (HKT) Subject: Theoretical Aspects of Neural Computation (TANC-97) Preliminary Call for Papers TANC-97 Hong Kong International Workshop on Theoretical Aspects of Neural Computation: A Multidisciplinary Perspective May 26-28, 1997 Hong Kong University of Science and Technology Over the past decade or so, neural computation has emerged as a research area with active involvement by researchers from a number of different disciplines, including computer science, engineering, mathematics, neurobiology, physics, and statistics. Interdisciplinary collaboration and exchange of ideas has often led us to address research issues in this area from different perspectives. Consequently, some interesting new paradigms and results have become available to the field and have contributed significantly to the strengthening of its theoretical foundations. This workshop, to be held in the Hong Kong University of Science and Technology located at the scenic Clear Water Bay, is intended to bring together researchers from different disciplines to review the current status of neural computation research. In particular, theoretical studies of the following themes will be given special emphasis: Neuroscience Computational and Mathematical Statistical Physics While the focus of this workshop is on theoretical aspects, the impact of recent theoretical advances to applications and the novel application of theoretical results to real-world problems will also be covered. Moreover, as an important objective of the workshop, future research directions and topics that have strong interdisciplinary nature will be explored. The workshop will feature several keynote presentations and invited papers by leading researchers in the field: Keynote Speakers ---------------- Shun-ichi Amari (RIKEN, Japan) Haim Sompolinsky (Hebrew University, Israel) Invited Speakers ---------------- Peter Dayan (MIT, USA) Aike Guo (Chinese Academy of Sciences, China) Ido Kanter (Bar Ilan, Israel) Manfred Opper (Wuerzburg, Germany) Sara Solla (AT&T Research, USA) Lei Xu (Chinese University of Hong Kong) (and more to be confirmed) In addition to keynote and invited papers, there will also be a number of submitted papers. All oral and poster presentations will be scheduled in a single track with no parallel sessions to facilitate interdisciplinary interaction. Additional discussion sessions will be arranged. Moreover, since campus accommodation will be available to all workshop participants, there will be plenty of time for informal discussions. Paper Submission ---------------- All submitted papers will be refereed on the basis of quality, significance, and clarity by a review panel which includes our invited speakers. Each submitted paper written in English may be up to six A4 pages, including figures and references, in single-spaced one-column format using a font size of 10 points or larger. Five copies of the submitted paper should be sent to: TANC-97 Secretariat Department of Physics Hong Kong University of Science and Technology Clear Water Bay, Kowloon Hong Kong Fax: +852-2358-1652 E-mail: tanc97@usthk.ust.hk WWW: http://www.cs.ust.hk/conf/tanc97 In addition to the paper, there should also be a cover letter with the following information provided: (a) contacting author, fax number, postal and e-mail addresses; (b) up to eight keywords; (c) preference of presentation format (oral or poster). Important Dates --------------- Submission of paper (received): January 15, 1997 Notification of acceptance: February 28, 1997 Organizing Committee -------------------- Kwok-Ping Chan (University of Hong Kong) Lai-Wan Chan (Chinese University of Hong Kong) Irwin King (Chinese University of Hong Kong) Zhaoping Li (Hong Kong University of Science and Technology) Franklin Shin (Hong Kong Polytechnic University) Michael K.Y. Wong (Hong Kong University of Science and Technology) - Chairman Dit-Yan Yeung (Hong Kong University of Science and Technology) Other Attractions ----------------- Hong Kong offers a wide variety of sightseeing activities. It is one of the most international and interesting cities in the world. This will be a great opportunity to visit Hong Kong as the workshop will be held shortly before Hong Kong becomes a Special Administrative Region of China starting from July 1, 1997. ------------------------------ Subject: Call for papers: COLT '97 From: Robert Schapire Date: Mon, 28 Oct 1996 12:07:59 -0500 (EST) =========================================================================== -- Call for Papers -- COLT '97 Tenth Annual Conference on Computational Learning Theory Vanderbilt University, Nashville, Tennessee July 6--9, 1997 =========================================================================== The Tenth Annual Conference on Computational Learning Theory (COLT'97) will be held at Vanderbilt University in Nashville, Tennessee from Sunday, July 6 through Wednesday, July 9, 1997. COLT'97 is sponsored by Vanderbilt University, with additional support from AT&T Labs, and in cooperation with ACM SIGACT and SIGART. The conference will be co-located with the Fourteenth International Conference on Machine Learning (ICML'97) which will be held Tuesday, July 8 through Saturday, July 12. We anticipate a lively program including oral presentations, posters, a number of invited speakers and a half day of tutorials (jointly organized with ICML). We invite papers in all areas that relate directly to the analysis of learning algorithms and the theory of machine learning. Some of the issues and topics that have been addressed in the past include: * design and analysis of learning algorithms; * sample and computational complexity of learning specific model classes; * frameworks modeling the interaction between the learner, teacher and the environment (such as learning with queries, learning control policies and inductive inference); * learning using complex models (such as neural networks and decision trees); * learning with minimal prior assumptions (such as mistake-bound models, universal prediction, and agnostic learning). We strongly encourage submissions from all disciplines engaged in research on these and related questions. Examples of such fields include computer science, statistics, information theory, pattern recognition, statistical physics, inductive logic programming, information retrieval and reinforcement learning. We also encourage the submission of papers describing experimental results that are supported by theoretical analysis. ABSTRACT SUBMISSION: Authors are encouraged to submit their abstracts electronically. Instructions for how to submit papers electronically can be obtained after December 1 by sending email to colt97@research.att.com with subject "help", or from our web page. Alternatively, authors may submit fourteen copies (preferably two-sided) of an extended abstract to: Robert Schapire -- COLT'97 AT&T Labs 600 Mountain Avenue, Room 2A-424 Murray Hill, NJ 07974 USA Telephone (for overnight mail): (908) 582-4533 Abstracts (whether hard-copy or electronic) must be RECEIVED by 11:59pm EST on FRIDAY, JANUARY 17, 1997. This deadline is FIRM. (We also will accept abstracts sent via air mail and postmarked by January 6, or sent via overnight carrier by January 16.) Authors will be notified of acceptance or rejection on or before March 24, 1997. Final camera-ready papers will be due by April 18. Papers that have appeared in journals or other conferences, or that are being submitted to other conferences (including ICML), are NOT appropriate for submission to COLT. ABSTRACT FORMAT: The extended abstract should consist of a cover page with title, authors' names, postal and email addresses, and a 200-word summary. The body of the abstract should be no longer than 10 pages with at most 35 lines per page, at most 6.5 inches of text per line, and in 12-point font. If the abstract exceeds 10 pages, only the first 10 pages may be examined. The extended abstract should include a clear definition of the theoretical model used and a clear description of the results, as well as a discussion of their significance, including comparison to other work. Proofs or proof sketches should be included. PROGRAM FORMAT: All accepted papers will be presented orally, although some or all papers may also be included in a poster session. At the discretion of the program committee, the program may consist of both long and short talks, corresponding to longer and shorter papers in the proceedings. By default, all papers will be considered for both categories. Authors who DO NOT want their papers considered for the short category should indicate that fact in a cover letter. PROGRAM CHAIRS: Yoav Freund and Robert Schapire (AT&T Labs). PROGRAM COMMITTEE: Andrew Barron (Yale University), John Case (University of Delaware), Sally Goldman (Washington University), David Helmbold (University of California, Santa Cruz), Rob Holte (University of Ottawa), Eyal Kushilevitz (Technion), Ga`bor Lugosi (Pompeu Fabra University, Barcelona), Arun Sharma (University of New South Wales), John Shawe-Taylor (University of London), Satinder Singh (University of Colorado, Boulder), Haim Sompolinsky (Hebrew University), Volodya Vovk (Royal Holloway, University of London). CONFERENCE AND LOCAL ARRANGEMENTS CHAIR: Vijay Raghavan (Vanderbilt University). STUDENT TRAVEL: We anticipate some funds will be available to partially support travel by student authors. Details will be distributed as they become available. TUTORIALS: The program will include a half day of tutorials, jointly organized by COLT and ICML, and intended as introductions to topics in the theory and practice of machine learning. For further information, or to submit a proposal for a tutorial, contact Sally Goldman, the tutorials chair, at sg@cs.wustl.edu or visit our web page. FOR MORE INFORMATION: Visit the ICML/COLT'97 web page at http://cswww.vuse.vanderbilt.edu/~mlccolt/, or send email to colt97@research.att.com. This call for papers is available in html and other formats from http://www.research.att.com/~yoav/colt97/cfp.html ------------------------------ From: Dan Geiger Date: Tue, 29 Oct 1996 11:39:41 +0200 Subject: First Call For Papers ====================================================== C A L L F O R P A P E R S ====================================================== ** U A I 97 ** THE THIRTEENTH ANNUAL CONFERENCE ON UNCERTAINTY IN ARTIFICIAL INTELLIGENCE August 1-3, 1997 Providence, Rhode Island, USA ======================================= Visit the UAI-97 WWW page at http://cuai97.microsoft.com/ CALL FOR PAPERS The effective handling of uncertainty is critical in designing, understanding, and evaluating computational systems tasked with making intelligent decisions. For over a decade, the Conference on Uncertainty in Artificial Intelligence (UAI) has served as the central meeting on advances in methods for reasoning under uncertainty in computer-based systems. The conference is the annual international forum for exchanging results on the use of principled uncertain-reasoning methods to solve difficult challenges in AI. Theoretical and empirical contributions first presented at UAI have continued to have significant influence on the direction and focus of the larger community of AI researchers. The scope of UAI covers a broad spectrum of approaches to automated reasoning and decision making under uncertainty. Contributions to the proceedings address topics that advance theoretical principles or provide insights through empirical study of applications. Interests include quantitative and qualitative approaches, and traditional as well as alternative paradigms of uncertain reasoning. Innovative applications of automated uncertain reasoning have spanned a broad spectrum of tasks and domains, including systems that make autonomous decisions and those designed to support human decision making through interactive use. We encourage submissions of papers for UAI-97 that report on advances in the core areas of representation, inference, learning, and knowledge acquisition, as well as on insights derived from building or using applications of uncertain reasoning. We also call for submissions of statements of open problems of wide interest for a discussion in a plenary session (see details below). Topics of interest include (but are not limited to): >> Foundations * Theoretical foundations of uncertain belief and decision * Uncertainty and models of causality * Representation of uncertainty and preference * Generalization of semantics of belief * Conceptual relationships among alternative calculi * Models of confidence in model structure and belief >> Principles and Methods * Planning under uncertainty * Temporal reasoning * Markov processes and decisions under uncertainty * Qualitative methods and models * Automated construction of decision models * Abstraction in representation and inference * Representing intervention and persistence * Uncertainty and methods for learning and data mining * Computation and action under limited resources * Control of computational processes under uncertainty * Time-dependent utility and time-critical decisions * Uncertainty and economic models of problem solving * Integration of logical and probabilistic inference * Statistical methods for automated uncertain reasoning * Synthesis of Bayesian and neural net techniques * Algorithms for uncertain reasoning * Advances in diagnosis, troubleshooting, and test selection >> Empirical Study and Applications * Empirical validation of methods for planning, learning, and diagnosis * Enhancing the human--computer interface with uncertain reasoning * Uncertain reasoning in embedded, situated systems (e.g., softbots) * Automated explanation of results of uncertain reasoning * Nature and performance of architectures for real-time reasoning * Experimental studies of inference strategies * Experience with knowledge-acquisition methods * Comparison of repres. and inferential adequacy of different calculi * Uncertain reasoning and information retrieval For papers focused on applications in specific domains, we suggest that the following issues be addressed in the submission: - Why was it necessary to represent uncertainty in your domain? - What are the distinguishing properties of the domain and problem? - What kind of uncertainties does your application address? - Why did you decide to use your particular uncertainty formalism? - What theoretical problems, if any, did you encounter? - What practical problems did you encounter? - Did users/clients of your system find the results useful? - Did your system lead to improvements in decision making? - What approaches were effective (ineffective) in your domain? - What methods were used to validate the effectiveness of the systems? ================================= SUBMISSION AND REVIEW OF PAPERS ================================= Papers submitted for review should represent original, previously unpublished work (details on policy on submission uniqueness are available at the UAI 97 www homepage). Submitted papers will be evaluated on the basis of originality, significance, technical soundness, and clarity of exposition. Papers may be accepted for presentation in plenary or poster sessions. All accepted papers will be included in the Proceedings of the Thirteenth Conference on Uncertainty in Artificial Intelligence, published by Morgan Kaufmann Publishers. An outstanding student paper will be selected for special distinction. Submitted papers must be at most 20 pages of 12pt Latex article style or equivalent (about 4500 words). See the UAI-97 homepage for additional details about UAI submission policies. We strongly encourage the electronic submission of papers. To submit a paper electronically, send two email messages to the program chairs at uai97@cs.technion.ac.il The first message includes the following information (in this order): * Paper title (plain text) * Author names, including student status (plain text) * Surface mail and Email address for a contact author (plain text) * A short abstract including keywords or topic indicators (plain text) The second message includes an electronic version of the paper (Postscript format). The subject line of the second message should be: $.ps, where $ is an identifier created from the last name of the first author, followed by the first initial of the author's first name. Multiple submissions by the same first author should be indicated by adding a number (e.g., pearlj2.ps) to the end of the identifier. Authors will receive electronic confirmation of the successful receipt of their articles. Authors unable to submit papers electronically should send the first four items electronically to the email address above, and 5 copies of the complete paper to one of the Program Chairs at the addresses listed below. ================================= SUBMISSION OF CHALLENGING PROBLEMS ================================= This year we plan to hold an experimental plenary session entitled "Challenging Problems in Uncertain Reasoning" to discuss critical open problems. We request that interested researchers submit a description of a critical open problem of wide interest that they consider relevant to UAI (according to the guidelines for regular papers). The submission should include a clear unambiguous statement of the problem, ideas on possible solutions, and a survey of the relevant literature where applicable. The statement should be no more than four pages in length. Problems selected by the program chairs will be presented in a plenary session. For each problem selected, the author will give a concise presentation of the problem and its prospective solutions. Following the brief presentations, there will be open discussion of the problem and potential solutions with the entire audience. Although the Challenging Problems will not appear in the proceedings, proposals will be posted on the UAI '97 web pages by May 15 to allow participants to study them and to interact with the authors. ++++++++++++++++++++++++++++++ Important Dates ++++++++++++++++++++++++++++++ >> All submissions must be received by: Feb 23, 1997 >> Notification of acceptance on or before: April 11, 1997 >> Camera-ready copy due: May 9, 1997 ========================== Program Cochairs (submissions and program inquiries): ================= Dan Geiger Computer Science Department Technion, Israel Institute of Technology, Haifa, 32000, Israel Phone: 972 4 829 4265 Fax: 972 4 8221128 Email: dang@cs.technion.ac.il Prakash P. Shenoy University of Kansas School of Business Summerfield Hall Lawrence, KS 66045-2003 USA Phone: (913) 864-7551 Fax: (913) 864-5328 Email: pshenoy@ukans.edu WWW: http://stat1.cc.ukans.edu/~pshenoy General Conference Chair (general conference inquiries): ======================== Eric Horvitz Decision Theory and Adaptive Systems Group Microsoft Research, 9S Redmond, WA 98052 USA Phone: (206) 936 2127 Fax: (206) 936 0502 Email: horvitz@microsoft.com WWW: http://www.research.microsoft.com/research/dtg/horvitz/ ================================================= UAI-97 will occur right after AAAI-97 and will be held in close proximity to AAAI-97. * * * Refer to the UAI-97 WWW home page for late-breaking information: http://cuai97.microsoft.com/ ------------------------------ From: Jonathan Marshall Date: Tue, 29 Oct 1996 13:31:39 -0400 Subject: Short-term postdoc opening: Neural modeling of visual perception Short-Term Position Opening: POSTDOCTORAL RESEARCH ASSOCIATE IN NEURAL MODELING OF VISUAL PERCEPTION at the University of North Carolina at Chapel Hill A short-term postdoctoral position is available in neural modeling of visual perception, in Dr. Jonathan Marshall's research group at UNC-Chapel Hill. The group's research focuses on intermediate-level visual motion perception, surface appearance perception, object perception, binding and grouping, and depth perception. The opening is the 2nd postdoctoral position in a research group that includes one faculty member, one postdoc, and four PhD students. The postdoc will develop and implement computational simulations of neural models of visual mechanisms involved in perception of surface brightness and transparency, depth, motion, and other aspects of visual and neural processing. The postdoc will also work on developing relative-motion algorithms for image processing tasks in object detection, image stabilization, scene segmentation, and invariant object representation. The postdoc may also have opportunities to develop and run visual psychophysics experiments on motion perception and stereopsis. The project includes work on adaptation and self-organization processes that may guide the development and maintenance of such neural mechanisms in human and animal brains. The postdoc will collaborate with other members of the research group. The position requires very good programming skills and (ideally) some image processing and/or neural simulation experience. Experience with visual psychophysics or visual neurophysiology would be a plus. The position is available immediately and is funded for 6 or more months. Because the position is short-term, it might be ideal for a new PhD who needs interim funding before starting another position in the Summer or Fall. Salary is competitive. Please send CV, a letter describing research interests and background, relevant publications, and references to Prof. Jonathan A. Marshall, Department of Computer Science, CB 3175, Sitterson Hall, University of North Carolina, Chapel Hill, NC 27599-3175, USA. Phone 919-962-1887, fax 919-962-1799, marshall@cs.unc.edu, http://www.cs.unc.edu/~marshall. ------------------------------ From: "prof. Soo-Young Lee" Date: Wed, 30 Oct 1996 21:32:58 +0900 Subject: Neural Networks Session at SCI'97, Venezuela CALL FOR PAPERS SCI'97 Neural Networks Session at WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS Caracas, Venezuela July 7-11, 1997 I was asked to organize session(s) on neural networks at a multi-disciplinary conference, SCI'97. As you may see at the following announcements of the conference, it is a truly interdiciplinary conference covering intelligent computing, information theory, cybernetics, social systems, psychology, biology, and applications. WE believe this interdisciplinary conference will provide a very good chance to meet researchers from different-but-related disciplines and promote interesting discussions. Therefore, I would like to invite you to present your recent research results at this conference, and meet interesting people. The Neural Networks sessions will cover following topics: * Neural network models (biological and artificial) * Hybrid systems (Neuro, fuzzy, GA, EP, etc.) * Applications (Speech, Time-series, controls, etc.) * Artificiasl life If you are interested in this multidisciplinary conference, please send me an e-mail to sylee@eekaist.kaist.ac.kr. SUBMISSIONS AND DEADLINES January 17, 1997 Submission of extended abstracts or a condensed first draft(500-1500 words) March 10, 1997 Acceptance notifications May 12, 1997 Submission of papers camera/ready, hard copies and electronic versions Best regards, Soo-Young Lee ********************************************************************** WORLD MULTICONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS Caracas, Venezuela July 7-11, 1997 MAJOR THEMES .. Conceptual Infrastructure of Systemics, Cybernetics and Informatics .. Information Systems (ISAS '97) .. Control Systems .. Managerial/Corporative Systems .. Human Resources Systems .. Natural Resources Systems .. Social Systems .. Educational Systems .. Financial Systems .. SCI in Psychology, Cognition and Spirituality .. SCI in Biology and Medicine .. SCI in Art .. Globalization, Development and Emerging Economies ACADEMIC AND SCIENTIFIC SPONSORS .. World Organization of Systemics and Cybernetics (WOSC) (France) .. IFSR: International Federation for Systems Research (Austria/USA) .. International Systems Institute (USA) .. CUST, Engineer Science Institute of the Blaise Pascal University (France) .. The International Institute for Advanced Studies in Systems Research and Cybernetics (Canada) .. Society Applied Systems Research (Canada) .. Cybernetics and Human Knowing: A Journal of Second Order Cybernetics and Cybersemiotics (Denmark) .. International Institute of Informatics and Systemics (USA) .. IEEE (Venezuela Chapter) .. Simon Bolivar University (Venezuela) .. Universidad Central de Venezuela INCLUSION OF SCI'97 PROCEEDINGS IN A CD-ROM EXTENDED ENCYCLOPEDIA An electronic version of the SCI 97 proceedings will also be available on CD-ROM, with search and hypertext features. Other media, such as sound, animation and video, are also being considered. These proceedings will also be included in the CD-ROM Extended Encyclopedia of Systemics and Cybernetics (TM), whose development in presently in progress. TYPES OF SUBMISSIONS ACCEPTED .. Research, Review or Position Papers .. Panel Presentation, Workshop and/or Round Table Proposals .. New Topics Proposal (which should include a minimum of 15 papers) .. Focus Symposia (which should include a minimum of 15 papers) JOURNALS PUBLICATIONS FOR BEST PAPERS Best papers will be published by "Cybernetics and Human Knowing: A Journal of Second Order Cybernetics and Cybersemiotics". Members of the Program Committee who are refrees of the Journal will take the decision on the issue. Other Journals are being considered for other areas of SCI'97/ISAS'97. WEB SITE http://www.callaos.com/SCI 97 PURPOSE The purpose of the Conference is to bring together, from universities and corporations, academics and professionals, researchers and consultants, scientists and engineers, theoreticians and practitioners, all over the world to discuss themes of the conference and to participate with original ideas or innovations, knowledge or experience, theories or methodologies, in the areas of Systemics, Cybernetics and Informatics (SCI). Systemics, Cybernetics and Informatics (SCI) are being increasingly related to each other and to almost every scientific discipline and human activity. Their common transdisciplinarity characterizes and communicates them, generating strong relations among them and with other disciplines. They interpenetrate each other integrating a whole that is permeating human thinking and practice. This phenomenon induced the Organization Committee to structure SCI'97 as a multiconference where participants may focus on an area, or on a discipline, while maintaining open the possibility of attending conferences from other areas or disciplines. This systemic approach stimulates cross-fertilization among different disciplines, inspiring scholars, generating analogies and provoking innovations; which, after all, is one of the very basic principles of the systems movement and a fundamental aim in cybernetics. BACKGROUND The success achieved in ISAS'95 (Information Systems Analysis and Synthesis) held in Baden-Baden (Germany), symbolized by the award granted by the International Institute for Advanced Studios in Systems Research and Cybernetics (Canada), as the best and largest symposium at the 5th International Conference on Systems Research, Informatics and Cybernetics, encouraged its sponsors and session chairs to organize ISAS '96 at Orlando and prepare a more general Conference on Systemics, Cybernetics and Informatics (SCI '97) at Caracas (Venezuela). The widely acknowledged success of ISAS'96 (held on July 22-26 at Orlando) by means of spontaneous verbal feedback and a written comprehensive evaluation from 143 authors, of high quality papers, from 32 countries, galvanized the Program and Organizing Committees to make a definitive commitment to organize SCI'97 and ISAS '97 at Caracas, in July 7-11, 1997. Many Program and Organizing Committees members from past international and world conferences are joining us for SCI '97 and ISAS'97, including most of those who organized the World Conference on Systems Sponsored by UNESCO and the United Nations' World Federation of Engineering Organizations (WFEO). We are still looking for more organizational support from experienced scholars, consultants, practitioners, professionals and researchers, as well as from international or national organizations, public or private, academic or professional. ------------------------------ From: yeng@smtpgw1.plk.af.mil Date: 1 VF 30 Jun 96 15:21:26 MST Subject: CDC97 conference announcement Contributed by: Gary G. Yen, Publicity Chair, CDC97 THE 36TH IEEE CONFERENCE ON DECISION AND CONTROL The IEEE Control Systems Society Conference on Decision and Control (CDC) is the annual meeting of the IEEE Control Systems Society, conducted in cooperation with the Society for Industrial and Applied Mathematics (SIAM) and the INstitute For Operations Research and the Management Sciences (INFORMS). The thirty-sixth CDC will be held December 10-12, 1997, with tutorial workshops preceding the conference on Monday and Tuesday, December 8-9. The venue is the Hyatt Regency San Diego. San Diego is one of the most exciting meeting destinations in the United States. With perfect weather year round, San Diego boasts a beautiful harbor and a multitude of attractions and activities to be experienced. Hyatt Regency San Diego located on San Diego Bay, offers a resort-like setting with the convenience of a downtown location. The Hyatt Regency is minutes away from San Diego Zoo, Wild Animal Park, Sea World, Seaport Village, Balboa Park - the list is endless. Contributed papers (in Regular and Short) are solicited in all aspects of the theory and applications of systems, including decision-making, control, adaptation, optimization, industrial automation, and manufacturing. Invited sessions are also solicited. Cohesive proposals focusing on new or emerging topics in the above-listed areas are particularly encouraged, and will have priority over those of a classical or mainstream flavor. All submissions are due 4 MARCH 1997. Each submitted regular paper, short paper, or invited paper extended summary must be accompanied by the Manuscript Submission Form. Addresses, deadlines, submission requirements, and all future announcements may be found on our CDC97 home page: *.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.* *. http://master.ceat.okstate.edu/conference/cdc/cdc97.html * *.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.* For general information please contact the General Chair: Anthony N. Michel College of Engineering University of Notre Dame Notre Dame, IN 46556 Phone: 219-631-5534 Fax: 219-631-8007 Email: anthony.n.michel.1@nd.edu ------------------------------ From: KBCS Word Processing Date: Tue, 5 Nov 1996 18:35:41 +0500 (GMT) Subject: KBCS-96 Call for Participation Call for Participation INTERNATIONAL CONFERENCE ON KNOWLEDGE BASED COMPUTER SYSTEMS St. Andrew's Auditorium, Bandra Bombay, India December 16-18, 1996 URL : http://konark.ncst.ernet.in/~kbcs/kbcs96.html The International Conference on Knowledge Based Computer Systems will be held in Mumbai, India during December 16-18, 1996. The conference will act as a forum for promoting interaction among researchers in the field of Artificial Intelligence in India and abroad. There will be a two day conference during December 16-17, 1996 followed by one day of post-conference tutorials on December 18, 1996. Papers have been submitted to the conference on the following topics. About 40 papers will be presented during the conference. AI Applications AI Architectures Automatic Programming Cognitive Modeling Expert Systems Foundations of AI Genetic Algorithms Fuzzy Systems Information Retrieval Intelligent Tutoring Systems Knowledge Acquisition Knowledge Representation Machine Learning Machine Translation Natural Language Processing Neural Networks Planning and Scheduling Reasoning Robotics Search Techniques Speech Processing Theorem Proving Uncertainty Handling User Interfaces User Modeling Vision Post-Conference Tutorials: All tutorials will be conducted on December 18, 1996 at NCST, Juhu, Mumbai. * T1: Hybrid Intelligent Systems - Full Day Larry R Medsker, The American University, USA * T2: Case-based Reasoning - Full Day John A Campbell, University College London, UK * T3: Data Mining - Half Day R Uthurusamy, General Motors Research Labs, Detroit, USA Registration Fees: Conference o Students in India : Rs 850 o Delegates from not-for-profit R&D and educational organisations in India : Rs 1200 o Other Indian Delegates & : & Rs 1800 o Delegates from Abroad & : & US $100 Tutorials o Half Day & : Rs 750 o Full Day & : Rs 1000 Programme Committee: S. Arunkumar, IIT, Bombay Amitava Bagchi, IIM, Calcutta Pushpak Bhattacharya, IIT, Bombay Margaret A. Boden, U of Sussex, UK Nick Cercone, U of Regina, Canada B. B. Chaudhuri, ISI, Calcutta R. Chandrasekar, NCST, Bombay S. K. Goyal, GTE Labs , USA S. Sen Gupta, TUL, Bombay J. R. Isaac, NIIT, New Delhi Aravind K. Joshi, R. A. Kowalski, Imperial College, UK U of Pennsylvania, USA H. N. Mahabala, INFOSYS, Bangalore M. Narasimha Murty, IISc, Bangalore R. Narasimhan, CMC, Bangalore S. Ramani, NCST, Bombay (Chair) P. V. S. Rao, TIFR, Bombay Patrick Saint-Dizier, U of Paul Sabatier, France R. Sangal, IIT, Kanpur R. Uthurusamy, GMR, USA M. Vidyasagar, CAIR, Bangalore Organizing Committee: George Arakal, NCST (Chair) K.S.R. Anjaneyulu, NCST P. Ravi Prakash, NCST Durgesh D. Rao, NCST M. Sasikumar, NCST T. Suresh, NCST For further information and the registration details please refer to the KBCS-96 home page or write to the KBCS-96 Secretariat. ___________________________________________________________________________ Address KBCS-96 Secretariat Phone : +91 (22) 620 1606 National Centre for Software Technology Fax : +91 (22) 621 0139 Gulmohar Cross Rd No. 9 E-mail : kbcs@konark.ncst.ernet.in Juhu, Bombay 400 049, India URL : http://konark.ncst.ernet.in/~kbcs/kbcs96.html ---------------------------------------------------------------------------- ------------------------------ From: Jean-Arcady MEYER Date: Tue, 5 Nov 1996 17:46:08 +0100 (MET) Subject: CFP: Adaptive Behavior in Animats *********************************************************** Call for Papers and Participation SPECIAL SESSION on ---------------------------- ADAPTIVE BEHAVIOR IN ANIMATS ---------------------------- IASTED International Conference Chairman: Professor H. Adeli INTELLIGENT INFORMATION SYSTEMS Ohio State University Grand Bahama Island College of Engineering The Bahamas 470 Hitchcock Hall December 8-10, 1997 2070 Neil Avenue Columbus, Ohio 43210-1275, USA ********************************************************* A special session on adaptive behavior in animats is to be organized within the IASTED International Conference on Intelligent Information Systems. Research on adaptive behavior in animats is focussed on the the modeling and creation of complete animal-like systems, which - however simple at the moment - may be one of the best routes to understanding intelligence in natural and artificial systems. Papers are sought on well-defined models, computer simulations, or robotics demonstrations that help characterize and compare various organisational principles or architectures capable of inducing adaptive behavior in real animals or synthetic agents. Contributions are welcome on any of the following topics provided that they take the perspective of adaptive behavior in animats: Action selection Learning and development Perception and motor control Evolutionary computation Neural correlates of behavior Coevolutionary models Emergent structures and behaviors Parallel and distributed models Motivation and emotion Collective and social behavior Internal world models Autonomous robots Prospective authors are requested to contact the session organizer Jean-Arcady Meyer AnimatLab Ecole Normale Superieure 46 rue d'Ulm 75230 Paris Cedex 05 France Email: meyer@wotan.ens.fr Fax: +33 1 44 32 39 01 by email or fax as soon as possible in order to show their interest. Six copies of submitted manuscripts should be sent to the session organizer by February 20, 1997. The length of each manuscript including figures should be limited to 15 pages typed double-spaced using font size 12. Each manuscript should start with an abstract of no more than 150 words and should include a list of five keywords. The final revised camera-ready manuscript including the signed transfer of copyright form must be received by the Chairman of the Conference no later than June 15, 1997. The conference is self-supported by the registration fee of each participant. Payment of registration fee is a requirement for the manuscript to be included in the Proceedings of the Conference, which will be published by IEEE Press and distributed worldwide. Important Dates =============== FEB 20, 1997: Submissions must be received APR 30: Notification of acceptance or rejection (via email) JUN 15: Camera ready revised versions due DEC 8-10: Conference dates ------------------------------ From: "John R. Koza" Date: Sat, 9 Nov 1996 12:41:18 -0800 (PST) Subject: 3 New GP Papers -Corrected  THREE NEW PAPERS ON GENETIC PROGRAMMING NOW AVAILABLE IN POST SCRIPT These 3 papers are on evolutionary design of electrical circuits using genetic programming and were presented recently at various conferences in Japan. . All 3 papers are available in Postscript via WWW under "Research Publications" and "Recent Papers" on John Koza's home page at Stanford University: http://www-cs-faculty.stanford.edu/~koza/ "Design of a 96 Decibel operational amplifier and other problems for which a computer program evolved by genetic pogramming is competitive with human performance" By John R. Koza David Andre Forrest H Bennett III and Martin A. Keane Presented on October 5, 1996 in Ashikaga Japan and appearing in Gen, Mitsuo and Zu, Weixuan (editors). Proceedings of l996 Japan- China Joint International Workshop on Information Systems. Ashikaga: Ashikaga Institute of Technology. Pages 30 - 49. It would be desirable if computers could solve problems without the need for a human to write the detailed programmatic steps. That is, it would be desirable to have a domain-independent automatic programming technique in which "What You Want Is What You Get" ("WYWIWYG" pronounced "wow-eee-wig"). Genetic programming is such a technique. This paper surveys three recent examples of problems (one from the field of cellular automata and two from the fields of molecular biology) in which genetic programming evolved a computer program that produced results that were slightly better than human performance for the same problem. This paper then discusses a fourth problem in greater detail and demonstrates that a design for a low-distortion 96 decibel op amp (including both topology and component sizing) can be evolved using genetic programming. The information that the user must supply to genetic programming consists of the parts bin (transistors, resistors, and capacitors) and the fitness measure for the major operating characteristics of an op amp. "Reuse, parameterized reuse, and hierarchical reuse of substructures in evolving electrical circuits using genetic programming" By John R. Koza Forrest H Bennett III David Andre and Martin A. Keane Presented October 8, 1996 in Tsukuba, Japan and appearing in Proceedings of International Conference on Evolvable Systems: From Biology to Hardware (ICES-96). Lecture Notes in Computer Science, Volume ---. Berlin: Springer-Verlag. Most practical electrical circuits contain modular substructures that are repeatedly used to create the overall circuit. Genetic programming with automatically defined functions and architecture- altering operations successfully evolved a design for a two-band crossover (woofer and tweeter) filter with a crossover frequency of 2,512 Hz. Both the topology and the sizing (numerical values) for each component of a the circuit were evolved. In the evolved circuit, three different electrical substructures were used; one was invoked five times; and one was invoked as part of a hierarchy; and one substructure was invoked with different numerical arguments so that different numerical component values were assigned to the substructure's components. "Evolution of a 60 Decibel op amp using genetic programming" By Forrest H Bennett III John R. Koza David Andre and Martin A. Keane Presented October 8, 1996 in Tsukuba, Japan and appearing in Proceedings of International Conference on Evolvable Systems: From Biology to Hardware (ICES-96). Lecture Notes in Computer Science, Volume ---. Berlin: Springer-Verlag. Genetic programming was used to evolve both the topology and sizing (numerical values) for each component of a low-distortion, low-bias 60 decibel (1000-to-1) amplifier with good frequency generalization. ------------------------------ From: "John R. Koza" Date: Sat, 9 Nov 1996 12:42:17 -0800 (PST) Subject: GP-97 CFP (Updated) CALL FOR PAPERS AND PARTICIPATION Genetic Programming 1997 Conference (GP-97) July 13 - 16 (Sunday - Wednesday), 1997 Fairchild Auditorium - Stanford University - Stanford, California _______________________________________________________________________ Paper Submission Deadline: Wednesday, January 8, 1997 _______________________________________________________________________ In cooperation with American Association for Artificial Intelligence (AAAI), Association for Computing Machinery (ACM), SIGART, and Society for Industrial and Applied Mathematics (SIAM) _______________________________________________________________________ WWW FOR GP-97: http://www-cs-faculty.stanford.edu/~koza/gp97.html _______________________________________________________________________ Genetic programming is an automatic programming technique for evolving computer programs that solve (or approximately solve) problems. Starting with a primordial ooze of thousands of randomly created computer programs, a population of programs is progressively evolved over many generations using the Darwinian principle of survival of the fittest, a sexual recombination operation, and occasional mutation. The first annual genetic programming conference in 1996 featured 15 tutorials, 2 invited speakers, 3 parallel tracks, 73 papers, and 17 poster papers in proceedings book, and 27 late-breaking papers in a separate book distributed to conference attendees, and 288 attendees. A description of GP-96 appears in the October 1996 issue of Scientific American (http://www.sciam.com/WEB/1096issue/1096techbus3.html). This second annual conference in 1997 reflects the rapid growth of this field in which over 600 technical papers have been published since 1992. For August 5, 1996 article in E. E. Times on GP-96 conference and August 12, 1996 article in E. E Times on John Holland's invited speech at GP-96, go to http://www.techweb.com/search/search.html Topics at the Second Annual Genetic Programming Conference to be held on July 13 - 16 (Sunday - Wednesday), 1997 at Stanford University include, but are not limited to, applications of genetic programming, theoretical foundations of genetic programming, implementation issues, technique extensions, cellular encoding, evolvable hardware, evolvable machine language programs, automated evolution of program architecture, evolution and use of mental models, automatic programming of multi-agent strategies, distributed artificial intelligence, auto-parallelization of algorithms, automated circuit synthesis, automatic programming of cellular automata, induction, system identification, control, automated design, data and image compression, image analysis, pattern recognition, molecular biology applications, grammar induction, and parallelization. Papers describing recent developments are also solicited in the following additional areas: genetic algorithms, classifier systems, evolutionary programming and evolution strategies, artificial life and evolutionary robotics, DNA computing, and evolvable hardware. _______________________________________________________________________ INVITED SPEAKERS: - Susumu Ohno, Ben Horowitz Chair of Distinguished Scientist in Theoretical Biology, Beckman Research Institute - David B. Fogel, Natural Selection Inc. _______________________________________________________________________ SPECIAL PROGRAM CHAIRS The main focus of the conference (and most of the papers) will be on genetic programming. In addition, papers describing recent developments in the closely related areas will be reviewed and selected by special program committees appointed and supervised by the following special program chairs. ___ Genetic Algorithms: Kalyanmoy Deb, Indian Inst of Tech - Kanpur, India ___ Classifier Systems: Rick L. Riolo, University of Michigan ___ Evolutionary Programming and Evolution Strategies: David B. Fogel, Natural Selection Inc, San Diego ___ Artificial Life and Evolutionary Robotics: Marco Dorigo, Universite Libre de Bruxelles ___ DNA Computing: Max Garzon, University of Memphis ___ Evolvable Hardware: Hitoshi Iba, Electrotechnical Laboratory, Japan _______________________________________________________________________ 19 TUTORIALS AT GP-97 Sunday July 13 - 9:15 AM - 11:30 AM ___ Genetic Algorithms - David E. Goldberg, University of Illinois at Urbana- Champaign ___ Evolvable Hardware - Tetsuya Higuchi - Electrotechnical Laboratory, Tsukuba, Japan ___ Program Growth Control in Genetic Programming - Byoung-Tak Zhang, Konkuk University, Seoul, South Korea and Hitoshi Iba, Electrotechnical Laboratory, Tsukuba, Japan ___ Introduction to Genetic Programming - John Koza, Stanford University _______________________________________________________________________ Sunday July 13 - 1:00 PM - 3: 15 PM ___ Evolutionary Algorithms for Computer-Aided Design of Integrated Circuits - Rolf Drechsler - Albert-Ludwigs-University, Freiburg, Germany ___ Self-Replicating Systems in Cellular Space Models - Jason Lohn - Stanford University ___ Simulated Evolution of Models - Jeanine Graf - University of Dortmund ___ Advanced Genetic Programming - John Koza, Stanford University _______________________________________________________________________ Sunday July 13 - 3:45 PM - 6 PM ___ Evolutionary Programming and Evolution Strategies - David Fogel, University of California, San Diego ___ Genetic Programming Representations - Astro Teller - Carnegie Mellon University ___ Design of Electrical Circuits using Genetic Programming - David Andre University of California - Berkeley and Forrest H Bennett III - Stanford University ___ Genetic Programming with Linear Genomes - Wolfgang Banzhaf, University of Dortmund, Germany _______________________________________________________________________ Tuesday July 15 - 3:25 PM - 5:40 PM ___ Neural Networks - Bernard Widrow, Stanford University ___ Machine Learning - Pat Langley, Institute for the Study of Learning and Expertise ___ Molecular Biology for Computer Scientists - Russ B. Altman, Stanford University _______________________________________________________________________ Tuesday July 15 - 7:30 PM - 9:30 PM ___ DNA Computing - Russell Deaton and Randy C. Murphy - University of Memphis ___ Evolutionary Robotics - Vasant Honavar - Iowa State University ___ Cellular Programming: Evolution Of Parallel Cellular Machines - Moshe Sipper - Swiss Federal Institute of Technology, Lausanne ___ Machine Language Genetic Programming - Peter Nordin DaCapo AB, Sweden _______________________________________________________________________ GENERAL CHAIR: John Koza, Stanford University PUBLICITY CHAIR: Patrick Tufts, Brandeis University EXECUTIVE COMMITTEE: David Andre, Forrest H Bennett III, Jason Lohn _______________________________________________________________________ FOR MORE INFORMATION ABOUT THE GP-97 CONFERENCE: See the GP-97 home page on the World Wide Web: http://www-cs-faculty.stanford.edu/~koza/gp97.html E- MAIL: gp@aaai.org. PHONE: 415-328-3123. FAX: 415-321-4457. The conference is operated by Genetic Programming Conferences, Inc. (a California not-for- profit corporation). _______________________________________________________________________ FOR MORE INFORMATION ABOUT GENETIC PROGRAMMING IN GENERAL: http://www-cs- faculty.stanford.edu/~koza/. _______________________________________________________________________ Hotel information: Numerous local hotels within a short distance of Stanford University are listed at the GP-97 home page. Because of other events held in the area during the summer, attendees are urged to make their arrangements for accomodations early. For your convenience, AAAI has reserved a block of rooms at the Holiday Inn-Palo Alto Hotel, 625 El Camino Real, Palo Alto, CA 94301, Phone: 800-874-3516 or 415-328-2800, FAX: 415-327-7362. Make your reservations directly with the Holiday Inn before June 28, 1997 for the GP-97 rate rate of $99 single and $109 double. In addition, AAAI has reserved a block of rooms at the Stanford Terrace Inn, 531 Stanford Avenue, Palo Alto, CA 94306, Phone: 800-729-0332 or 415-857-0333, FAX: 415-857-0343. Make your reservations directly with the Stanford Terrace Inn before June 11, 1997. There is a free Stanford University shuttle (called Marguerite) that stops near both of these hotels (and various other hotels, the train station, and Palo Alto locations). _______________________________________________________________________ University Housing information: A limited number of spaces are available at Stanford University housing on a first-come-first-served basis. The final deadline for University housing applications is June 13, 1997. See the GP-97 WWW home page for a university housing application form. _______________________________________________________________________ TRAVEL INFORMATION: Stanford University is near Palo Alto in Northern California and is about 40 miles south of San Francisco. Stanford is about 25 miles south of the San Francisco International Airport and about 25 miles north of San Jose International Airport. Oakland airport is about 45 miles away. Conventions in America has arranged special GP-97 airline and car rental discounts. For travel between July 10 - 20, 1997, American Airlines can save you 5% on lowest applicable fares or 10% off lowest unrestricted coah fares, with 7-day advance purchases. Some restrictions apply. Hertz is offering special low conference rates with unlimited free mileage. Please contact Conventions in America concerning "Group #428" at 1-800-929-4242; or phone 619-678-3600; or FAX 619-678-3699 or e-mail scltravel@cgl.com.If you call American Airlines direct at 800-433-1790, ask for "Index #S9485." If you call Hertz direct at 800-654-2240, ask for "CV #24250." See the GP-97 WWW home page for additional details. _______________________________________________________________________ STUDENT TRAVEL GRANTS: See the GP-97 home page on the World Wide Web: http://www-cs-faculty.stanford.edu/~koza/gp97.html. Deadline for applications is March 19, 1997. See the GP-97 WWW home page for student travel grant application form. _______________________________________________________________________ SAN FRANCISCO BAY AND SILICON VALLEY TOURIST INFORMATION: Try the Stanford University home page at http://www.stanford.edu/, the Hyperion Guide at http://www.hyperion.com/ba/sfbay.html; the Palo Alto weekly at http://www.service.com/PAW/home.html; the California Virtual Tourist at http://www.research.digital.com/SRC/virtual-tourist/California.html; and the Yahoo Guide of San Francisco at http://www.yahoo.com/Regional_Information/States/California/San_Francisco. _______________________________________________________________________ CONTEMPORANEOUS CONFERENCES IN CALIFORNIA AND ELSEWHERE: GP-97 is concurrent with the 45th Anniversary meeting of the Society for Industrial and Applied Mathematics (SIAM) on July 14-18, 1997 at Stanford University (http://www.siam.org). GP-97 comes just after the IEEE International Symposium on Computational Intelligence in Robotics and Automation (CIRA-97) on July 10 - 11, 1997 in Monterey, California (90 miles from Stanford University) and the IEEE 8th International Conference on Advanced Robotics (ICAR-97) on July 5 - 9, 1997 in Monterey http://www.cs.cmu.edu/afs/cs/project/space/www/cira97/conference.html. Other non-California conferences of interest include AAAI-97 on July 27-31, 1997 in Providence, Rhode Island (http://www.aaai.org/); ICGA-97 on July 20-23, 1997 in East Lansing, Michigan (http://isl.cps.msu.edu/GA/icga97); European Artificial Life Conference on July 28-31, 1997 in Brighton, England (http://www.cogs.susx.ac.uk/ecal97/); and IJCAI-97 on August 26-29, 1997 in Nagoya, Japan (http://www.aaai.org/). _______________________________________________________________________ MEMBERSHIP IN THE ACM, AAAI, or SIAM: For information about ACM membership, go to http://www.acm.org/; for SIGART, http://sigart.acm.org/; for AAAI http://www.aaai.org/; and for SIAM, http://www.siam.org. There is a discount on GP-97 registration fees for members of ACM, SIGART, AAAI, and SIAM. _______________________________________________________________________ SUBMITTING PAPERS: The deadline for arrival at the physical mail address below of eight (8) paper copies of each submitted paper is Wednesday, January 8, 1997. Papers are to be in single-spaced, 10-point type on 8 1/2" x 11" paper with 1" margin at top and 3/4" margin at left, right, and bottom. Note that this new format for submitted papers is intended to resemble that for the final camera-ready GP-97 papers. A4 paper may be used, but not e-mail or fax. Papers are to contain ALL of the following 9 items, within a maximum total of 9 pages, IN THIS ORDER: (1) the paper's category (chosen from one of the following seven alternatives: genetic programming, genetic algorithms, classifier systems, evolutionary programming and evolution strategies, artificial life and evolutionary robotics, DNA computing, or evolvable hardware), (2) title of paper, (3) author name(s), (4) author physical address(es), (5) author e-mail address(es), (6) author phone number(s), (7) a 50-200 word abstract of the paper, (8) the text of the paper (including all figures, tables, acknowledgments, and appendices, if any), and (9) bibliography. Review criteria will include significance of the work, novelty, sufficiency of information to permit replication (if applicable), clarity, and writing quality. The first-named author (or other designated corresponding author) will be notified of acceptance or rejection within approximately six weeks after the paper submission deadline. The style of the camera-ready paper will be announced, but will be similar to that of the GP-96 Conference. Different numbers of pages will probably be allocated to various accepted papers (e.g., at GP-96, there were 9-page papers, 6-page papers, and 1-page poster papers in the proceedings book). The deadline for final camera-ready version of accepted papers will be announced and will be approximately three weeks after notification of acceptance. Proceedings books will be distributed at the conference (and, if requested, mailed at no extra charge by 2-day priority mail to registered conference attendees with U.S. addresses about two weeks prior to the conference). By submitting a paper, the author(s) agree that they will submit a final revised camera-ready version of their accepted paper and that at least one author will register, attend, and present each accepted and published paper at the conference. _______________________________________________________________________ ADDRESSES FOR GP-97: GP-97 Conference, c/o American Association for Artificial Intelligence, 445 Burgess Drive, Menlo Park, CA 94025. PHONE: 415- 328-3123. FAX: 415-321-4457. E-MAIL: gp@aaai.org. WWW FOR AAAI: http://www.aaai.org/. WWW FOR GP-97: http://www-cs- faculty.stanford.edu/~koza/gp97.html _______________________________________________________________________ REGISTRATION FORM FOR genetic programming 1997 CONFERENCE July 13 - 16 (Sunday - Wednesday), 1997 at Stanford University First Name ________________ Last Name _____________ Affiliation _________________________________________ Address ____________________________________________ __________________________________________________ City _______________________ State/Province _________ Zip/Postal Code ______________ Country _______________ Daytime telephone __________________________________ E-Mail address _____________________________________ Conference registration fee includes admission to all conference sessions and events, one copy of conference proceedings book, attendance at 5 tutorials of your choice, syllabus books for your 5 tutorials, Sunday night welcoming wine and cheese reception, Monday night conference dinner reception, one copy of a book of late-breaking papers, the conference T-shirt, 4 box lunches, and coffee breaks. Conference proceedings will be mailed to registered attendees with U.S. mailing addresses via 2-day U.S. priority mail about 1 - 2 weeks prior to the conference at no extra charge (at addressee's risk). If you are uncertain as to whether you will be at the above address at that time or DO NOT WANT your proceedings mailed to you at the above address for any other reason, your copy of the proceedings will be held for you at the conference registration desk if you check here ___. _____________________________________ REGISTER BY MAY 1, 1997 FOR LOWEST RATES! _____________________________________ Postmarked by May 1, 1997 Student - ACM, SIAM or AAAI Member - $195 Regular - ACM, SIAM, or AAAI Member - $395 Student - Non-member - $215 Regular - Non-member - $215 _____________________________________ Postmarked after May 1, 1997 but before June 19, 1997 - Add $50 _____________________________________ Postmarked after June 19, 1997 or on-site - Add $100 _____________________________________ Member Number: ACM # ___________ SIAM # _________ AAAI # _________ Students must send legible proof of full-time student status. _____________________________________ Stanford Parking Permits ($5 per day). Number of days ___ Total $_____ _____________________________________ Grand Total (enter appropriate amount) $ _____________ _____________________________________ ___ Check or money order made payable to "AAAI" (in U.S. funds) ___ Mastercard ___ Visa ___ American Express Credit card number __________________________________________ Expiration Date _________ Signature ____________________________________________ _____________________________________ T-Shirt Size: ___ small ___ medium ___ large ___ extra-large _____________________________________ TUTORIALS: Check off a box for one tutorial from each of the 6 rows: Sunday July 13 - 9:15 AM - 11:30 AM ___ Genetic Algorithms ___ Evolvable Hardware ___ Program Growth Control in Genetic Programming ___ Introduction to GP _____________________________________ Sunday July 13 - 1:00 PM - 3: 15 PM ___ Evolutionary Algorithms for Computer-Aided Design of Integrated Circuits ___ Self-Replicating Systems in Cellular Space Models ___ Simulated Evolution of Modelsd ___ Advanced GP _____________________________________ ___ Evolutionary Programming and Evolution Strategies of California, San Diego ___ Genetic Programming Representations ___ Design of Electrical Circuits using Genetic Programming ___ Genetic Programming with Linear Genomes _____________________________________ Tuesday July 15 - 3:25 PM - 5:40 PM ___ Neural Networks ___ Machine Learning ___ Molecular Biology for Computer Scientists _____________________________________ Tuesday July 15 - 7:30 PM - 9:30 PM ___ DNA Computinghis ___ Evolutionary Roboticsty ___ Cellular Programming: Evolution Of Parallel Cellular Machines ___ Machine Language Genetic Programming _____________________________________ No refunds will be made; however, we will transfer your registration to a person you designate upon notification. _____________________________________ SEND TO: GP-97 Conference, c/o American Association for Artificial Intelligence, 445 Burgess Drive, Menlo Park, CA 94025. PHONE: 415-328-3123. FAX: 415-321-4457. E-MAIL: gp@aaai.org. WWW FOR AAAI: http://www.aaai.org/. WWW FOR GP-97: http://www-cs-faculty.stanford.edu/~koza/gp97.html _______________________________________________________________________ GP-97 PROGRAM COMMITTEE Russell J. Abbott ___ California State Univ. LA, and The Aerospace Corp. Hojjat Adeli ___ Ohio State University Enrique Alba ___ University de Malaga Dennis Allison ___ Stanford University Lee Altenberg ___ Hawaii Institute of Geophysics and Planetology Karthik Balakrishnan ___ Iowa State University Wolfgang Banzhaf ___ University of Dortmund, Germany Rik Belew ___ University of California at San Diego Tommaso F. Bersano-Begey ___ University of Michigan Tobias Blickle ___ Swiss Federal Institute of Technology Edward B. Boden ___ IBM Rochester Scott Brave ___ Massachusetts Institute of Technology Wilker Shane Bruce ___ Nova Southeastern University Bill P. Buckles ___ Tulane University Julian Dorado de la Calle ___ University of A Corunha Shu-Heng Chen ___ National Chengchi University, Taiwan Bastien Chopard ___ CUI, University of Geneva H. Brown Cribbs, III ___ University of Alabama Mark J. Crosbie ___ Purdue University Jason Daida ___ University of Michigan Anthony Deakin ___ University of Liverpool Judith E Devaney ___ NIST Hugo de Garis ___ ATR, Kyoto, Japan Marco Dorigo ___ Universite' Libre de Bruxelles Dimitris C. Dracopoulos ___ Ecole Normale Superieure de Lyon Rolf Drechsler ___ University of Freiburg, Germany Bertrand Daniel Dunay ___ System Dynamics International Garett Dworman ___ The Wharton School Andrew N. Edmonds ___ Science in Finance Ltd., UK H.H. Ehrenburg ___ CWI, The Netherlands Rodolfo Faglia ___ Universit di Brescia, Italy Gabriel J. Ferrer ___ University of Virginia Nicholas Flann ___ Utah State University Terry Fogarty ___ Napier University James A. Foster ___ University of Idaho Frank D. Francone ___ FRISEC Adam P. Fraser ___ University of Salford Matthias Fuchs ___ University of Kaiserslautern Alex S. Fukunaga ___ Jet Propulsion Lab, California Inst. of Tech Chris Gathercole ___ University of Edinburgh Erol Gelenbe ___ Duke University Jonathan Gibbs ___ University of California, Santa Cruz Erik D. Goodman ___ Michigan State University Frederic Gruau ___ CWI Amsterdam and COGS Sussex University Richard Hampo ___ Ford Research Laboratory Simon Handley ___ Stanford University Thomas D. Haynes ___ University of Tulsa Hitoshi Hemmi ___ ATR, Kyoto, Japan Hugo G Hiden ___ Newcastle University Vasant Honavar ___ Iowa State University Brian Howley ___ Lockheed Martin Missiles and Space Lorenz Huelsbergen ___ Lucent Technologies Hitoshi Iba ___ Electrotechnical Laboratory, Japan Christian Jacob ___ University of Erlangen, Germany Hugues Juille ___ Brandeis University Martin A. Keane ___ Econometrics Maarten Keijzer ___ Cap Volmac, Adaptive Systems bv. Robert E. Keller ___ Dortmund University Simon Kent ___ Brunel University Steven O. Kimbrough ___ University of Pennsylvania Leslie A.Kuhn ___ Michigan State University Ibrahim Kuscu ___ University of Sussex James D. Laing ___ The Wharton School, University of Pennsylvania W. B. Langdon ___ University of Birmingham K.S. Leung ___ Chinese University of Hong Kong David Levine ___ The Boeing Company Sean Luke ___ University of Maryland at College Park Sidney R Maxwell III ___ Applied Microsystems, Inc Nicholas Freitag McPhee ___ University of Minnesota, Morris Zbigniew Michalewicz ___ University of North Carolina David Montana ___ BBN System and Technologies Gary Montague ___ University of Newcastle Byung-Ro Moon ___ DT Research Lab, LG Semicon Co., Ltd. Brian Mulloy ___ University of Michigan Peter Nordin ___ DaCapo AB, Sweden Howard Oakley ___ Institute of Naval Medicine, UK Peter C. Olsen ___ Department of Defense Franz Oppacher ___ Carleton University, Ottawa Una-May O`Reilly ___ Artificial Intelligence Lab, MIT Mouloud Oussaidene ___ Universite de Geneve Michael Papka ___ Argonne National Laboratory Alejandro Pazos ___ University of A Corunha Frederick Petry ___ Tulane University Riccardo Poli ___ University of Birmingham Carlos Cotta Porras ___ University of Malaga Bill Punch ___ Michigan State University Adil Qureshi ___ University College London Simon Raik ___ Monash University Robert A. Richards ___ Stanford Linear Accelerator Center Antonino Santos del Riego ___ University of A Corunha Justinian P. Rosca ___ University of Rochester Peter Ross ___ University of Edinburgh Conor Ryan ___ University of Limerick, Ireland Tae-wan Ryu ___ University of Houston Yuji Sato ___ HitachiCentral Reseach Laboratories Robert Savit ___ University of Michigan Dale A. Schoenefeld ___ University of Tulsa Gregory Seront ___ Universite Libre de Bruxelles Eric V. Siegel ___ Columbia University Terence Soule ___ University of Idaho Kilian Stoffel ___ University of Maryland Walter Alden Tackett ___ Neuromedia Astro Teller ___ Carnegie Mellon University Adrian Thompson ___ University of Sussex, UK Siegfried Voessner ___ Stanford University Patrick Tufts ___ Brandeis University Marshall S. Veach ___ Stanford University Thomas Wagner ___ Fraunhofer Institute for Integrated Circuits, Germany Roger L. Wainwright ___ University of Tulsa Paul Walsh ___ University College Cork Mark Wineberg ___ Carleton University P. A. Whigham ___ CSIRO Division of Water Resources, Australia Darrell Whitley ___ Colorado State University Mark J. Willis ___ University of Newcastle, UK Man Leung Wong ___ Hong Kong Baptist University Yasuo Yonezawa ___ Ibaraki University Byoung-Tak Zhang ___ Konkuk University, Seoul, Korea ------------------------------ From: Marney Smyth Date: Sun, 10 Nov 1996 16:28:18 -0500 (EST) Subject: Learning Methods for Prediction, Classification, ************************************************************** *** *** *** Learning Methods for Prediction, Classification, *** *** Novelty Detection and Time Series Analysis *** *** *** *** Los Angeles, CA, December 14-15, 1996 *** *** *** *** Geoffrey Hinton, University of Toronto *** *** Michael Jordan, Massachusetts Inst. of Tech. *** *** *** ************************************************************** A two-day intensive Tutorial on Advanced Learning Methods will be held on December 14 and 15, 1996, at Loews Hotel, Santa Monica, CA. Space is available for up to 50 participants for the course. The course will provide an in-depth discussion of the large collection of new tools that have become available in recent years for developing autonomous learning systems and for aiding in the analysis of complex multivariate data. These tools include neural networks, hidden Markov models, belief networks, decision trees, memory-based methods, as well as increasingly sophisticated combinations of these architectures. Applications include prediction, classification, fault detection, time series analysis, diagnosis, optimization, system identification and control, exploratory data analysis and many other problems in statistics, machine learning and data mining. The course will be devoted equally to the conceptual foundations of recent developments in machine learning and to the deployment of these tools in applied settings. Case studies will be described to show how learning systems can be developed in real-world settings. Architectures and algorithms will be presented in some detail, but with a minimum of mathematical formalism and with a focus on intuitive understanding. Emphasis will be placed on using machine methods as tools that can be combined to solve the problem at hand. WHO SHOULD ATTEND THIS COURSE? The course is intended for engineers, data analysts, scientists, managers and others who would like to understand the basic principles underlying learning systems. The focus will be on neural network models and related graphical models such as mixture models, hidden Markov models, Kalman filters and belief networks. No previous exposure to machine learning algorithms is necessary although a degree in engineering or science (or equivalent experience) is desirable. Those attending can expect to gain an understanding of the current state-of-the-art in machine learning and be in a position to make informed decisions about whether this technology is relevant to specific problems in their area of interest. COURSE OUTLINE Overview of learning systems; LMS, perceptrons and support vectors; generalized linear models; multilayer networks; recurrent networks; weight decay, regularization and committees; optimization methods; active learning; applications to prediction, classification and control Graphical models: Markov random fields and Bayesian belief networks; junction trees and probabilistic message passing; calculating most probable configurations; Boltzmann machines; influence diagrams; structure learning algorithms; applications to diagnosis, density estimation, novelty detection and sensitivity analysis Clustering; mixture models; mixtures of experts models; the EM algorithm; decision trees; hidden Markov models; variations on hidden Markov models; applications to prediction, classification and time series modeling Subspace methods; mixtures of principal component modules; factor analysis and its relation to PCA; Kalman filtering; switching mixtures of Kalman filters; tree-structured Kalman filters; applications to novelty detection and system identification Approximate methods: sampling methods, variational methods; graphical models with sigmoid units and noisy-OR units; factorial HMMs; the Helmholtz machine; computationally efficient upper and lower bounds for graphical models REGISTRATION Standard Registration: $700 Student Registration: $400 Cancellation Policy: Cancellation before Friday December 6th, 1996, incurs a penalty of $150.00. Cancellation after Friday December 6th, 1996, incurs a penalty of one-half of Registration Fee. Registration Fee includes Course Materials, breakfast, coffee breaks, and lunch on Saturday December 14th. On-site Registration is possible. Payment of on-site registration must be in US Dollar amounts, by Money Order or Check (preferably drawn on a US Bank account). Those interested in participating should return the completed Registration Form and Fee as soon as possible, as the total number of places is limited by the size of the venue. Please print this form, and fill in the hard copy to return by mail REGISTRATION FORM Learning Methods for Prediction, Classification, Novelty Detection and Time Series Analysis Saturday, December 14 - Sunday, December 15, 1996 Santa Monica, CA, USA. -------------------------------------- Please complete this form (type or print) Name ___________________________________________________ Last First Middle Firm or Institution ______________________________________ Standard Registration ____ Student Registration ____ Mailing Address (for receipt) _________________________ __________________________________________________________ __________________________________________________________ __________________________________________________________ Country Phone FAX __________________________________________________________ email address (Lunch Menu, Saturday December 14th - tick as appropriate): ___ Vegetarian ___ Non-Vegetarian [Image] Fee payment must be made by MONEY ORDER or PERSONAL CHECK. All amounts are given in US dollar figures. Make fee payable to Prof. Michael Jordan. Mail it, together with this completed Registration Form to: Professor Michael Jordan Dept. of Brain and Cognitive Sciences M.I.T. E10-034D 77 Massachusetts Avenue Cambridge, MA 02139 USA HOTEL ACCOMMODATION Hotel accomodations are the personal responsibility of each participant. The Tutorial will be held in Lowes Santa Monica Beach Hotel, 1700 Ocean Avenue Santa Monica CA 90401 (310) 458-6700 FAX (310) 458-0020 on December 14 and 15, 1996. The hotel has reserved a block of rooms for participants of the course. The special room rates for participants are: U.S. $170.00 (city view) per night + tax U.S. $250.00 (full ocean view) per night + tax Please be aware that these prices do not include State or City taxes. Participants may wish to avail of discounted overnight parking rate of $13.30 (self) and $15.50 (valet). ADDITIONAL INFORMATION A registration form is available from the course's WWW page at http://www.ai.mit.edu/projects/cbcl/web-pis/jordan/course/index.html Marney Smyth Phone: 617 258-8928 Fax: 617 258-6779 E-mail: marney@ai.mit.edu ------------------------------ From: Marney Smyth Date: Sun, 10 Nov 1996 16:28:50 -0500 (EST) Subject: Modern Regression and Classification ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ +++ +++ +++ Modern Regression and Classification +++ +++ Widely Applicable Statistical Methods for +++ +++ Modeling and Prediction +++ +++ +++ +++ Cambridge, MA, December 9 - 10, 1996 +++ +++ +++ +++ Trevor Hastie, Stanford University +++ +++ Rob Tibshirani, University of Toronto +++ +++ +++ ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ This two-day course will give a detailed overview of statistical models for regression and classification. Known as machine-learning in computer science and artificial intelligence, and pattern recognition in engineering, this is a hot field with powerful applications in science, industry and finance. The course covers a wide range of models, from linear regression through various classes of more flexible models, to fully nonparametric regression models, both for the regression problem and for classification. Although a firm theoretical motivation will be presented, the emphasis will be on practical applications and implementations. The course will include many examples and case studies, and participants should leave the course well-armed to tackle real problems with realistic tools. The instructors are at the forefront in research in this area. After a brief overview of linear regression tools, methods for one-dimensional and multi-dimensional smoothing are presented, as well as techniques that assume a specific structure for the regression function. These include splines, wavelets, additive models, MARS (multivariate adaptive regression splines), projection pursuit regression, neural networks and regression trees. The same hierarchy of techniques is available for classification problems. Classical tools such as linear discriminant analysis and logistic regression can be enriched to account for nonlinearities and interactions. Generalized additive models and flexible discriminant analysis, neural networks and radial basis functions, classification trees and kernel estimates are all such generalizations. Other specialized techniques for classification including nearest-neighbor rules and learning vector quantization will also be covered. Apart from describing these techniques and their applications to a wide range of problems, the course will also cover model selection techniques, such as cross-validation and the bootstrap, and diagnostic techniques for model assessment. Software for these techniques will be illustrated, and a comprehensive set of course notes will be provided to each attendee. Additional information is available at the Website: http://playfair.stanford.edu/~trevor/mrc.html COURSE OUTLINE DAY ONE: Overview of regression methods: Linear regression models and least squares. Ridge regression and the lasso. Flexible linear models and basis function methods. linear and nonlinear smoothers; kernels, splines, and wavelets. Bias/variance tradeoff- cross-validation and bootstrap. Smoothing parameters and effective number of parameters. Surface smoothers. ++++++++ Structured Nonparametric Regression: Problems with high dimensional smoothing. Structured high-dimensional regression: additive models. project pursuit regression. CART, MARS. radial basis functions. neural networks. applications to time series forecasting. DAY TWO: Classification: Statistical decision theory and classification rules. Linear procedures: Discriminant Analysis. Logistics regression. Quadratic discriminant analysis, parametric models. Nearest neighbor classification, K-means and LVQ. Adaptive nearest neighbor methods. ++++++++ Nonparametric classification: Classification trees: CART. Flexible/penalized discriminant analysis. Multiple logistic regression models and neural networks. Kernel methods. THE INSTRUCTORS Professor Trevor Hastie of the Statistics and Biostatistics Departments at Stanford University was formerly a member of the Statistics and Data Analysis Research group AT & T Bell Laboratories. He co-authored with Tibshirani the monograph Generalized Additive Models (1990) published by Chapman and Hall, and has many research articles in the area of nonparametric regression and classification. He also co-edited the Wadsworth book Statistical Models in S (1991) with John Chambers. Professor Robert Tibshirani of the Statistics and Biostatistics departments at University of Toronto is the most recent recipient of the COPSS award - an award given jointly by all the leading statistical societies to the most outstanding statistician under the age of 40. He also has many research articles on nonparametric regression and classification. With Bradley Efron he co-authored the best-selling text An Introduction to the Bootstrap in 1993, and has been an active researcher on bootstrap technology for the past 11 years. Quotes from previous participants: "... the best presentation by professional statisticians I have ever had the pleasure of attending" ".. superior to most courses in all respects." Both Prof. Hastie and Prof. Tibshirani are actively involved in research in modern regression and classification and are well-known not only in the statistics community but in the machine-learning and neural network fields as well. The have given many short courses together on classification and regression procedures to a wide variety of academic, government and industrial audiences. These include the American Statistical Association and Interface meetings, NATO ASI Neural Networks and Statistics workshop, AI and Statistics, and the Canadian Statistical Society meetings. BOSTON COURSE: December 9-10, 1996 at the HYATT REGENCY HOTEL, CAMBRIDGE, MASSACHUSETTS. PRICE: $750 per attendee before November 11, 1996. Full time registered students receive a 40% discount (i.e. $450). Cancellation fee is $100 after October 29, 1996. Registration fee after November 11, 1996 is $950 (Students $530). Attendance is limited to the first 60 applicants, so sign up soon! These courses fill up quickly. HOTEL ACCOMMODATION The Hyatt Regency Hotel offers special accommodation rates for course participants ($139 per night). Contact the hotel directly - The Hyatt Regency Hotel, 575 Memorial Drive, Cambridge, MA 02139. Phone : 617 4912-1234 Alternative hotel accommodation information at MRC WebSite: http://playfair.stanford.edu/~trevor/mrc.html COURSE REGISTRATION TO REGISTER: Detach and fill in the Registration Form below: Modern Regression and Classification Widely applicable methods for modeling and prediction December 9 - December 10, 1996 Cambridge, Massachusetts USA Please complete this form (type or print) Name ___________________________________________________ Last First Middle Firm or Institution ______________________________________ Mailing Address (for receipt) _________________________ __________________________________________________________ __________________________________________________________ __________________________________________________________ Country Phone FAX __________________________________________________________ email address Standard Registration ____ Student Registration ____ __________________________________________________________ Credit card # (if payment by credit card) Expiration Date (Lunch Menu - tick as appropriate): ___ Vegetarian ___ Non-Vegetarian Fee payment must be made by MONEY ORDER, PERSONAL CHECK, VISA or MASTERCARD. All amounts must in US dollar figures. Make fee payable to Prof. Trevor Hastie. Mail it, together with this completed Registration Form *AND ENSURE THE ENVELOPE IS CLEARLY ADDRESSED TO*: Marney Smyth, MIT Press E39-311 55 Hayward Street, Cambridge, MA 02142 USA ALL CREDIT CARD REGISTRATIONS MUST INCLUDE BOTH CARD NUMBER AND EXPIRATION DATE. DEADLINE: Registration before December 2, 1996. DO NOT SEND CASH. Registration fee includes Course Materials, coffee breaks, and lunch both days. If you have further questions, email to marney@ai.mit.edu ------------------------------ End of ML-LIST (Digest format) **************************************** From szepes@sol.cc.u-szeged.hu Wed Nov 13 13:08:02 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id NAA14233 for ; Wed, 13 Nov 1996 13:07:53 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id NAA16435 for ; Wed, 13 Nov 1996 13:07:52 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa25795; 13 Nov 96 11:34:09 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa25793; 13 Nov 96 11:05:57 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa07714; 13 Nov 96 11:05:42 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa02576; 13 Nov 96 5:57:09 EST Received: from [160.114.8.24] by EDRC.CMU.EDU id aa06664; 13 Nov 96 5:55:49 EST Received: by sol.cc.u-szeged.hu (5.0/SMI-SVR4) id AA29449; Wed, 13 Nov 1996 11:53:16 +0100 Date: Wed, 13 Nov 1996 11:53:15 +0100 (MET) From: Szepesvari Csaba X-Sender: szepes@sol To: connectionists@cs.cmu.edu Subject: CFP: Theoretical Approaches to Adaptive Intelligent Control Message-Id: Mime-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII content-length: 2000 CALL FOR PAPERS Those interested in the topic and wishing to contribute a half-hour talk (some slots are open) may e-mail me a title and brief abstract. Csaba Szepesvari Theoretical Approaches to Adaptive Intelligent Control session at the conference COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE March 2--5, 1997, Research Triangle Park, North Carolina Organizer: Csaba Szepesvari, szepes@math.u-szeged.hu The aim of this section is to bring together researchers of Reinforcement Learning (RL), Adaptive- and NeuroControl (AC,NC) in order to facilitate the discussion between the people working in these fields, overview the research done in these fields and develope connections between them. Although the framework and the ultimate goal of these fields are different, the theoretical problems arising share many common features (stability(AC) = convergence (RL), performance optimization(AC) = exploration exploitation dilemma (RL), observability and controllability(AC) = hidden state, perceptual aliasing(RL), etc .). Ideally, the contributions should discuss the current problems arising in these fields from a theoretical point of view. In case of sufficient interest a panel discussion at the end of the session will be included. Summaries on Adaptive Intelligent Control are solicited for this session. Summaries should be sent to me and will be published in the proceedings. After the conference speakers may extend their summaries to full papers which will go through the usual refereeing process. Accepted papers will be published as journal articles. For more information on the conference see the Web site http://www.csci.csusb.edu/iccin. SUBMISSION DEADLINE: December 6, 1996 Csaba Szepesvari Session Organizer on Theoretical Approaches to Adaptive Control Computational Intelligence and Neuroscience szepes@math.u-szeged.hu From marney@ai.mit.edu Wed Nov 13 19:20:53 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id TAA20667 for ; Wed, 13 Nov 1996 19:20:48 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id TAA23240 for ; Wed, 13 Nov 1996 19:20:46 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa25955; 13 Nov 96 15:17:54 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa25953; 13 Nov 96 15:07:13 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa28867; 13 Nov 96 15:07 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa09547; 10 Nov 96 16:34:59 EST Received: from ai.mit.edu by CS.CMU.EDU id aa01010; 10 Nov 96 16:34:18 EST Received: from carpentras.ai.mit.edu (CARPENTRAS.MIT.EDU [18.42.0.101]) by life.ai.mit.edu (8.8.2/8.8.2AI/life.ai.mit.edu:1.9) with SMTP id QAA23903; Sun, 10 Nov 1996 16:34:15 -0500 (EST) From: Marney Smyth Received: by carpentras.ai.mit.edu (4.1/AI-4.10) id AA04438; Sun, 10 Nov 96 16:34:12 EST Message-Id: <9611102134.AA04438@carpentras.ai.mit.edu> Subject: Learning Methods for Prediction, Classification, To: Connectionists@CS.cmu.edu Date: Sun, 10 Nov 1996 16:34:12 -0500 (EST) Cc: Marney Smyth X-Mailer: ELM [version 2.4 PL25] Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit ************************************************************** *** *** *** Learning Methods for Prediction, Classification, *** *** Novelty Detection and Time Series Analysis *** *** *** *** Los Angeles, CA, December 14-15, 1996 *** *** *** *** Geoffrey Hinton, University of Toronto *** *** Michael Jordan, Massachusetts Inst. of Tech. *** *** *** ************************************************************** A two-day intensive Tutorial on Advanced Learning Methods will be held on December 14 and 15, 1996, at Loews Hotel, Santa Monica, CA. Space is available for up to 50 participants for the course. The course will provide an in-depth discussion of the large collection of new tools that have become available in recent years for developing autonomous learning systems and for aiding in the analysis of complex multivariate data. These tools include neural networks, hidden Markov models, belief networks, decision trees, memory-based methods, as well as increasingly sophisticated combinations of these architectures. Applications include prediction, classification, fault detection, time series analysis, diagnosis, optimization, system identification and control, exploratory data analysis and many other problems in statistics, machine learning and data mining. The course will be devoted equally to the conceptual foundations of recent developments in machine learning and to the deployment of these tools in applied settings. Case studies will be described to show how learning systems can be developed in real-world settings. Architectures and algorithms will be presented in some detail, but with a minimum of mathematical formalism and with a focus on intuitive understanding. Emphasis will be placed on using machine methods as tools that can be combined to solve the problem at hand. WHO SHOULD ATTEND THIS COURSE? The course is intended for engineers, data analysts, scientists, managers and others who would like to understand the basic principles underlying learning systems. The focus will be on neural network models and related graphical models such as mixture models, hidden Markov models, Kalman filters and belief networks. No previous exposure to machine learning algorithms is necessary although a degree in engineering or science (or equivalent experience) is desirable. Those attending can expect to gain an understanding of the current state-of-the-art in machine learning and be in a position to make informed decisions about whether this technology is relevant to specific problems in their area of interest. COURSE OUTLINE Overview of learning systems; LMS, perceptrons and support vectors; generalized linear models; multilayer networks; recurrent networks; weight decay, regularization and committees; optimization methods; active learning; applications to prediction, classification and control Graphical models: Markov random fields and Bayesian belief networks; junction trees and probabilistic message passing; calculating most probable configurations; Boltzmann machines; influence diagrams; structure learning algorithms; applications to diagnosis, density estimation, novelty detection and sensitivity analysis Clustering; mixture models; mixtures of experts models; the EM algorithm; decision trees; hidden Markov models; variations on hidden Markov models; applications to prediction, classification and time series modeling Subspace methods; mixtures of principal component modules; factor analysis and its relation to PCA; Kalman filtering; switching mixtures of Kalman filters; tree-structured Kalman filters; applications to novelty detection and system identification Approximate methods: sampling methods, variational methods; graphical models with sigmoid units and noisy-OR units; factorial HMMs; the Helmholtz machine; computationally efficient upper and lower bounds for graphical models REGISTRATION Standard Registration: $700 Student Registration: $400 Cancellation Policy: Cancellation before Friday December 6th, 1996, incurs a penalty of $150.00. Cancellation after Friday December 6th, 1996, incurs a penalty of one-half of Registration Fee. Registration Fee includes Course Materials, breakfast, coffee breaks, and lunch on Saturday December 14th. On-site Registration is possible. Payment of on-site registration must be in US Dollar amounts, by Money Order or Check (preferably drawn on a US Bank account). Those interested in participating should return the completed Registration Form and Fee as soon as possible, as the total number of places is limited by the size of the venue. Please print this form, and fill in the hard copy to return by mail REGISTRATION FORM Learning Methods for Prediction, Classification, Novelty Detection and Time Series Analysis Saturday, December 14 - Sunday, December 15, 1996 Santa Monica, CA, USA. -------------------------------------- Please complete this form (type or print) Name ___________________________________________________ Last First Middle Firm or Institution ______________________________________ Standard Registration ____ Student Registration ____ Mailing Address (for receipt) _________________________ __________________________________________________________ __________________________________________________________ __________________________________________________________ Country Phone FAX __________________________________________________________ email address (Lunch Menu, Saturday December 14th - tick as appropriate): ___ Vegetarian ___ Non-Vegetarian [Image] Fee payment must be made by MONEY ORDER or PERSONAL CHECK. All amounts are given in US dollar figures. Make fee payable to Prof. Michael Jordan. Mail it, together with this completed Registration Form to: Professor Michael Jordan Dept. of Brain and Cognitive Sciences M.I.T. E10-034D 77 Massachusetts Avenue Cambridge, MA 02139 USA HOTEL ACCOMMODATION Hotel accomodations are the personal responsibility of each participant. The Tutorial will be held in Lowes Santa Monica Beach Hotel, 1700 Ocean Avenue Santa Monica CA 90401 (310) 458-6700 FAX (310) 458-0020 on December 14 and 15, 1996. The hotel has reserved a block of rooms for participants of the course. The special room rates for participants are: U.S. $170.00 (city view) per night + tax U.S. $250.00 (full ocean view) per night + tax Please be aware that these prices do not include State or City taxes. Participants may wish to avail of discounted overnight parking rate of $13.30 (self) and $15.50 (valet). ADDITIONAL INFORMATION A registration form is available from the course's WWW page at http://www.ai.mit.edu/projects/cbcl/web-pis/jordan/course/index.html Marney Smyth Phone: 617 258-8928 Fax: 617 258-6779 E-mail: marney@ai.mit.edu From szepes@sol.cc.u-szeged.hu Thu Nov 14 08:14:11 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id IAA26685 for ; Thu, 14 Nov 1996 08:14:01 -0600 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id IAA00431 for ; Thu, 14 Nov 1996 08:13:58 -0600 Received: from (warabi.cs.uwa.oz.au [130.95.1.13]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id SAA25098; Thu, 14 Nov 1996 18:01:59 +0800 Message-Id: <199611141001.SAA25098@cs.uwa.oz.au> From: Szepesvari Csaba To: reinforce@cs.uwa.edu.au, ml@ics.uci.edu Subject: CFP: Theoretical Approaches to Intelligent Control Date: Wed, 13 Nov 1996 11:42:44 +0100 (MET) CALL FOR PAPERS Those interested in the topic and wishing to contribute a half-hour talk (some slots are open) may e-mail me a title and brief abstract. Csaba Szepesvari Theoretical Approaches to Intelligent Control session at the conference COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE March 2--5, 1997, Research Triangle Park, North Carolina Organizer: Csaba Szepesvari, szepes@math.u-szeged.hu The aim of this section is to bring together researchers of Reinforcement Learning (RL), Adaptive- and NeuroControl (AC,NC) in order to facilitate the discussion between the people working in these fields, overview the research done in these fields and develope connections between them. Although the framework and the ultimate goal of these fields are different, the theoretical problems arising share many common features (stability(AC) = convergence (RL), performance optimization(AC) = exploration exploitation dilemma (RL), observability and controllability(AC) = hidden state, perceptual aliasing(RL), etc .). Ideally, the contributions should discuss the current problems arising in these fields from a theoretical point of view. In case of sufficient interest a panel discussion at the end of the session will be included. Summaries on Intelligent Control are solicited for this session. Summaries should be sent to me and will bepublished in the proceedings. After the conference speakers may extend their summaries to full papers which will go through a usual refereeing process. Accepted papers will be published as journal articles. For more information on the conference see the Web site http://www.csci.csusb.edu/iccin. SUBMISSION DEADLINE: December 6, 1996 Csaba Szepesvari Session Organizer on Intelligent Control Computational Intelligence and Neuroscience szepes@math.u-szeged.hu From yaser@cs.caltech.edu Thu Nov 14 08:47:12 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id IAA27072 for ; Thu, 14 Nov 1996 08:46:52 -0600 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id IAA00873 for ; Thu, 14 Nov 1996 08:46:48 -0600 Received: from (warabi.cs.uwa.oz.au [130.95.1.13]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id SAA25238; Thu, 14 Nov 1996 18:04:53 +0800 Message-Id: <199611141004.SAA25238@cs.uwa.oz.au> From: yaser@cs.caltech.edu (Yaser S. Abu-Mostafa) To: Afcet.Administration@ibp.fr, DAI-List@ece.sc.edu, P-LIST@magenta.me.fau.edu, Reinforce@cs.uwa.edu.au, TIERRA@life.slhs.udel.edu, Vision-List@teleos.com, addistr@sis.port.ac.uk, ai-stats@watstat.uwaterloo.ca, alife@cognet.ucla.edu, annrules@fit.qut.edu.au, cEGA-List@aic.nrl.navy.mil, cells@tce.ing.uniroma1.it, cogni-info@univ-lyon1.fr, cogpsy@neuro.psy.soton.ac.uk, colt@cs.uiuc.edu, comp-finance@teleport.com, comp-speech@cs.utexas.edu, connectionists@cs.cmu.edu, corryfee%hasara11.BITNET@hamlet.caltech.edu, dbworld@cs.wisc.edu, dietmar@cognition.iig.uni-freiburg.de, echos@dmi.ens.fr, enns-list@dcs.kcl.ac.uk, evolutionary-computing@mailbase.ac.uk, gann-list@cs.iastate.edu, genetic-programming@cs.stanford.edu, genetic@dcs.shef.ac.uk, hybrid-list@cs.ua.edu, inductive@unb.ca, intcon@phoenix.ee.unsw.edu.au, kdd@gte.com, ml@ics.uci.edu, mlnet@csd.abdn.ac.uk, nat@ura1507.univ-paris13.fr, neur-sci@dl.ac.uk, neuron-request@cattell.psych.upenn.edu, neuropl@plearn.edu.pl, nl-kr@snyside.sunnyside.com, nonlin-l@list.nih.gov, owner-csemlist@mundo.eco.utexas.edu, philos-l@liverpool.ac.uk, reinforce@cs.uwa.edu.au, scivw-request@hitl.washington.edu, spp@umiacs.umd.edu, tanns@cs.unc.edu, www@sigart.acm.org Subject: NNCM-96 [connectionists] Date: Thu, 14 Nov 1996 01:02:16 -0800 ********************************************************************* **** LAST CHANCE TO REGISTER - CONFERENCE NEXT WEEK **** ********************************************************************* NNCM-96 FOURTH INTERNATIONAL CONFERENCE NEURAL NETWORKS in the CAPITAL MARKETS Wednesday-Friday, November 20-22, 1996 The Ritz-Carlton Hotel, Pasadena, California, U.S.A. Sponsored by Caltech and London Business School Program and Registration Information: http://cs.caltech.edu/~learn/nncm (or send e-mail to: yaser@caltech.edu) ********************************************************************* From amari@zoo.riken.go.jp Thu Nov 14 14:31:58 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id OAA01970 for ; Thu, 14 Nov 1996 14:31:47 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id OAA06636 for ; Thu, 14 Nov 1996 14:31:39 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa27216; 14 Nov 96 11:03:49 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa27214; 14 Nov 96 10:49:46 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa00590; 14 Nov 96 10:49 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa25135; 14 Nov 96 2:09:51 EST Received: from rkna50.riken.go.jp by RI.CMU.EDU id aa29494; 14 Nov 96 2:08:46 EST Received: from zoo.riken.go.jp (amari@zoo [134.160.48.26]) by postman.riken.go.jp (8.7.6+2.6Wbeta7/3.3W-RIKEN) with SMTP id QAA26828 for ; Thu, 14 Nov 1996 16:08:36 +0900 (JST) Received: by zoo.riken.go.jp; (5.65v3.2/1.1.8.2/24Apr95-0454PM) id AA22444; Thu, 14 Nov 1996 16:08:57 +0900 Date: Thu, 14 Nov 1996 16:08:57 +0900 Message-Id: <9611140708.AA22444@zoo.riken.go.jp> From: Shunichi Amari To: Connectionists@cs.cmu.edu Subject: Neural networks awards INNS Awards Call For Nominations The International Neural Network Society has established an Awards Program to recognize INNS members who have made outstanding contributions in the field of Neural Networks. Nominations for candidates are to be sought for the following categories: The Hebb, Hemholtz and Gabor Awards. Two awards, among the three, of $500 will be presented each year to senior members of INNS for outstanding contributions made in the field of Neural Networks. Young Investigator Award. Each year two awards of $250.00 will be presented for significant contributions in the field of Neural Networks to members with no more than five years postdoctoral experience and under the 40 years of age. The Award Committee should receive nominations, from other than the nominee, of no more than two A4 pages in length, outlining reasons for the award to the nominee, along with a list of at least five important and published papers of the nominee. The nominations must be made by mail, fax or e-mail no later than February 28, 1997. The member who submits the nomination should also provide the Committee with the following information for both the nominee and themselves: name, address, position/title, phone, fax and e-mail address. Awards will be presented at ICNN'97, June 9-12, 1997 at Westin Galleria Hotel, Houston, Texas. Nominations should be sent to : INNS c/o Talley Management Group 875 Kings Highway, Suite 200 Woodbury, NJ 08096 Phone: 609/845-9094 Fax: 609/853-0411 E-Mail: headquarters@WCNN.ccmail.CompuServe.Com ------- End of forwarded message ------- From tibs@utstat.toronto.edu Thu Nov 14 14:31:59 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id OAA01972 for ; Thu, 14 Nov 1996 14:31:50 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id OAA06640 for ; Thu, 14 Nov 1996 14:31:47 -0600 Message-Id: <199611142031.OAA06640@lucy.cs.wisc.edu> Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa27232; 14 Nov 96 11:14:50 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa27224; 14 Nov 96 10:58:51 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa00628; 14 Nov 96 10:58 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa01609; 14 Nov 96 9:39:47 EST Received: from utstat.toronto.edu by RI.CMU.EDU id aa01109; 14 Nov 96 9:38:47 EST From: tibs@utstat.toronto.edu Date: Thu, 14 Nov 96 09:38 EST To: Connectionists@cs.cmu.edu Subject: new tech report Classification by pairwise coupling Trevor Hastie Stanford University Robert Tibshirani University of Toronto We discuss a strategy for polychotomous classification that involves estimating probabilities for each pair of classes and then coupling the estimates together. The coupling model is similar to the Bradley-Terry method for paired comparisons. We study the nature of the class probability estimates that arise, and examine the performance of the procedure in real and simulated datasets. Classifiers used include linear discriminants, nearest neighbours, and the support vector machine. Available at http://utstat.toronto.edu/tibs/research.html ftp://utstat.toronto.edu/pub/tibs/coupling.ps Comments welcome! ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Rob Tibshirani, Dept of Preventive Med & Biostats, and Dept of Statistics Univ of Toronto, Toronto, Canada M5S 1A8. Phone: 416-978-4642 (PMB), 416-978-0673 (stats). FAX: 416 978-8299 computer fax 416-978-1525 (please call or email me to inform) tibs@utstat.toronto.edu. ftp: //utstat.toronto.edu/pub/tibs http://www.utstat.toronto.edu/~tibs +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ From robtag@dia.unisa.it Fri Nov 15 01:44:02 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id BAA10338 for ; Fri, 15 Nov 1996 01:43:55 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id BAA15905 for ; Fri, 15 Nov 1996 01:43:53 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa27442; 14 Nov 96 15:50:18 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa27440; 14 Nov 96 15:24:37 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa00966; 14 Nov 96 15:24 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa04501; 14 Nov 96 11:52:46 EST Received: from topmgr.unisa.it by RI.CMU.EDU id aa01928; 14 Nov 96 11:49:58 EST Received: by udsab.dia.unisa.it; (5.65v3.2/1.1.8.2/24Jun96-1229PM) id AA08295; Thu, 14 Nov 1996 17:45:50 +0100 Date: Thu, 14 Nov 1996 17:45:50 +0100 From: Tagliaferri Roberto Message-Id: <9611141645.AA08295@udsab.dia.unisa.it> To: Connectionists@cs.cmu.edu Subject: Wirn 97 First Call for Paper ***************** CALL FOR PAPERS ***************** The 9-th Italian Workshop on Neural Nets WIRN VIETRI-97 May 22-24, 1997 Vietri Sul Mare, Salerno ITALY **************** FIRST ANNOUNCEMENT ***************** Organizing - Scientific Committee -------------------------------------------------- B. Apolloni (Univ. Milano) A. Bertoni ( Univ. Milano) D. D. Caviglia ( Univ. Genova) P. Campadelli ( Univ. Milano) M. Ceccarelli ( CNR Napoli) A. Colla (ELSAG Bailey Genova) M. Frixione ( I.I.A.S.S.) C. Furlanello (IRST Trento) G. M. Guazzo ( I.I.A.S.S.) M. Gori ( Univ. Firenze) F. Lauria ( Univ. Napoli) M. Marinaro ( Univ. Salerno) F. Masulli (Univ. Genova) P. Morasso (Univ. Genova) G. Orlandi ( Univ. Roma) T. Parisini (Univ. Trieste) E. Pasero ( Politecnico Torino ) A. Petrosino ( I.I.A.S.S.) M. Protasi ( Univ. Roma II) S. Rampone ( Univ. Salerno ) R. Serra ( Gruppo Ferruzzi Ravenna) F. Sorbello ( Univ. Palermo) R. Stefanelli ( Politecnico Milano) R. Tagliaferri ( Univ. Salerno) R. Vaccaro ( CNR Napoli) Topics ---------------------------------------------------- Mathematical Models Architectures and Algorithms Hardware and Software Design Hybrid Systems Pattern Recognition and Signal Processing Industrial and Commercial Applications Fuzzy Tecniques for Neural Networks Schedule ----------------------- Papers Due: January 31, 1997 Replies to Authors: March 31, 1997 Revised Papers Due: May 24, 1997 Sponsors ------------------------------------------------------------------------------ International Institute for Advanced Scientific Studies (IIASS) Dept. of Fisica Teorica, University of Salerno Dept. of Informatica e Applicazioni, University of Salerno Dept. of Scienze dell'Informazione, University of Milano Istituto per la Ricerca dei Sistemi Informatici Paralleli (IRSIP - CNR) Societa' Italiana Reti Neuroniche (SIREN) Istituto Italiano per gli Studi Filosofici, Napoli The 9-th Italian Workshop on Neural Nets (WIRN VIETRI-97) will take place in Vietri Sul Mare, Salerno ITALY, May 22-24, 1997. The conference will bring together scientists who are studying several topics related to neural networks. The three-day conference, to be held in the I.I.A.S.S., will feature both introductory tutorials and original, refereed papers, to be published by World Scientific Publishing. Papers should be 6 pages,including title, figures, tables, and bibliography. The first page should give keywords, postal and electronic mailing addresses, telephone and FAX numbers, indicating oral or poster presentation. The camera ready format will be sent with the acceptation letter of the referees. Submit 3 copies and a 1 page abstract (containing keywords, postal and electronic mailing addresses, telephone, and FAX numbers with no more than 300 words) to the address shown (WIRN 97 c/o IIASS). An electronic copy of the abstract should be sent to the E-mail address below. During the Workshop the "Premio E.R. Caianiello" will be assigned to the best Ph.D. thesis in the area of Neural Nets and related fields of Italian researchers. The amount is of 2.000.000 Italian Lire. The interested researchers (with the Ph.D degree got in 1994,1995,1996 until February 28 1997) must send 3 copies of a c.v. and of the thesis to "Premio Caianiello" WIRN 97 c/o IIASS before February 28,1997. It is possible to partecipate to the prize at most twice. For more information, contact the Secretary of I.I.A.S.S. I.I.A.S.S Via G.Pellegrino, 19 84019 Vietri Sul Mare (SA) ITALY Tel. +39 89 761167 Fax +39 89 761189 E-Mail robtag@udsab.dia.unisa.it or the www pages at the address below: http:://www-dsi.ing.unifi.it/neural ***************************************************************** From gaudiano@cns.bu.edu Fri Nov 15 01:44:04 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id BAA10341 for ; Fri, 15 Nov 1996 01:43:59 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id BAA15907 for ; Fri, 15 Nov 1996 01:43:56 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa27560; 14 Nov 96 17:43:04 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa27558; 14 Nov 96 17:30:03 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa01116; 14 Nov 96 17:29 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa11549; 14 Nov 96 17:27:27 EST Received: from CNS.BU.EDU by CS.CMU.EDU id aa16665; 14 Nov 96 17:26:06 EST Received: from mattapan.bu.edu by cns.bu.edu (SMI-8.6/BU-11/2/94) id RAA13522; Thu, 14 Nov 1996 17:25:18 -0500 From: Paolo Gaudiano Received: by mattapan.bu.edu (8.6.13/BU_Client-1.1) id RAA25167; Thu, 14 Nov 1996 17:25:16 -0500 Date: Thu, 14 Nov 1996 17:25:16 -0500 Message-Id: <199611142225.RAA25167@mattapan.bu.edu> To: connectionists@cs.cmu.edu, reinforce@cs.uwa.edu.au, ml@ics.uci.edu Subject: Call for papers: Intelligent Robotics cc: pioneer-users@rwii.com, bxx-users@rwii.com CALL FOR PAPERS Special Session on Intelligent Robotics 2nd International Conference on COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (http://www.csci.csusb.edu/iccin) Sheraton Imperial Hotel & Convention Center Research Triangle Park, North Carolina March 2-5, 1997 SUBMISSION DEADLINE: December 6, 1996. Organizer: Paolo Gaudiano, Boston University Neurobotics Lab, gaudiano@cns.bu.edu This session will include a combination of invited and submitted articles in the area of intelligent robotics. We welcome submissions describing applied work utilizing traditional AI, neural networks, fuzzy logic, reinforcement learning, or any other technique relevant to the main themes of the conference. Preference will be given to papers describing work done on real robotic systems, though simulator results will be acceptable when the potential applicability to real robots is clear. Submissions need to conform to the format specified for ICCIN'97: summary papers shall not exceed 4 pages of 10-point font, double-column, single-spaced text, (1 page minimum) with figures and tables included. Any summary exceeding 4 pages will be charged $100 per additional page. Three copies of the summary are required by November 15, 1996. After acceptance, a deposit of $150 check must be received by January 31, 1997, to guarantee the publication of the 4 pages summary in the Proceedings. $150 can be deducted from registration fee later. Your papers should be RECEIVED at the following address by December 6th, 1996: Paolo Gaudiano Boston University Dept. of Cognitive and Neural Systems 677 Beacon Street Boston, MA 02215 USA Alternatively, you may submit your camera-ready paper electronically. Postscript is preferred. If you have a different format (e.g., Word, Frame, ...), please send me e-mail ahead of time to gaudiano@cns.bu.edu to see if an electronic submission is possible. If you have already submitted a relevant paper in response to the original ICCIN call for papers, please notify the coordinator (George Georgiou, georgiou@csci.csusb.edu) that you would like to be considered for this session. -- Paolo Gaudiano Dept. of Cognitive & Neural Systems Boston University Phone:617-353-9482 Fax:617-353-7755 677 Beacon Street e-mail: gaudiano@cns.bu.edu Boston, MA 02215 USA WEB URL: http://cns-web.bu.edu/ Neurobotics Lab Phone: 617-353-1347 WEB URL: http://neurobotics.bu.edu/ From gaudiano@cns.bu.edu Fri Nov 15 12:58:17 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id MAA18077 for ; Fri, 15 Nov 1996 12:58:07 -0600 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id MAA23604 for ; Fri, 15 Nov 1996 12:58:03 -0600 Received: from (warabi.cs.uwa.oz.au [130.95.1.13]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id XAA01638; Fri, 15 Nov 1996 23:43:30 +0800 Message-Id: <199611151543.XAA01638@cs.uwa.oz.au> From: gaudiano@cns.bu.edu (Paolo Gaudiano) To: connectionists@cs.cmu.edu, reinforce@cs.uwa.edu.au, ml@ics.uci.edu cc: pioneer-users@rwii.com, bxx-users@rwii.com Subject: Call for papers: Intelligent Robotics [connectionists] Date: Thu, 14 Nov 1996 17:25:16 -0500 CALL FOR PAPERS Special Session on Intelligent Robotics 2nd International Conference on COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE (http://www.csci.csusb.edu/iccin) Sheraton Imperial Hotel & Convention Center Research Triangle Park, North Carolina March 2-5, 1997 SUBMISSION DEADLINE: December 6, 1996. Organizer: Paolo Gaudiano, Boston University Neurobotics Lab, gaudiano@cns.bu.edu This session will include a combination of invited and submitted articles in the area of intelligent robotics. We welcome submissions describing applied work utilizing traditional AI, neural networks, fuzzy logic, reinforcement learning, or any other technique relevant to the main themes of the conference. Preference will be given to papers describing work done on real robotic systems, though simulator results will be acceptable when the potential applicability to real robots is clear. Submissions need to conform to the format specified for ICCIN'97: summary papers shall not exceed 4 pages of 10-point font, double-column, single-spaced text, (1 page minimum) with figures and tables included. Any summary exceeding 4 pages will be charged $100 per additional page. Three copies of the summary are required by November 15, 1996. After acceptance, a deposit of $150 check must be received by January 31, 1997, to guarantee the publication of the 4 pages summary in the Proceedings. $150 can be deducted from registration fee later. Your papers should be RECEIVED at the following address by December 6th, 1996: Paolo Gaudiano Boston University Dept. of Cognitive and Neural Systems 677 Beacon Street Boston, MA 02215 USA Alternatively, you may submit your camera-ready paper electronically. Postscript is preferred. If you have a different format (e.g., Word, Frame, ...), please send me e-mail ahead of time to gaudiano@cns.bu.edu to see if an electronic submission is possible. If you have already submitted a relevant paper in response to the original ICCIN call for papers, please notify the coordinator (George Georgiou, georgiou@csci.csusb.edu) that you would like to be considered for this session. -- Paolo Gaudiano Dept. of Cognitive & Neural Systems Boston University Phone:617-353-9482 Fax:617-353-7755 677 Beacon Street e-mail: gaudiano@cns.bu.edu Boston, MA 02215 USA WEB URL: http://cns-web.bu.edu/ Neurobotics Lab Phone: 617-353-1347 WEB URL: http://neurobotics.bu.edu/ From monostor@lutra.sztaki.hu Fri Nov 15 13:38:53 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id NAA18671 for ; Fri, 15 Nov 1996 13:35:56 -0600 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id NAA24303 for ; Fri, 15 Nov 1996 13:35:52 -0600 Received: from (warabi.cs.uwa.oz.au [130.95.1.13]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id XAA01648; Fri, 15 Nov 1996 23:44:23 +0800 Message-Id: <199611151544.XAA01648@cs.uwa.oz.au> From: monostor@lutra.sztaki.hu To: amilcar@eden.dei.uc.pt, addistr@sis.port.ac.uk, Afcet.Administration@ibp.fr, ai-stats@watstat.uwaterloo.ca, alife@cognet.ucla.edu, annrules@fit.qut.edu.au, cogpsy@neuro.psy.soton.ac.uk, colt@cs.uiuc.edu, connectionists@cs.cmu.edu, dietmar@cognition.iig.uni-freiburg.de, genetic-programming@cs.stanford.edu, hybrid-list@cs.ua.edu, ml@ics.uci.edu, mlnet@csd.abdn.ac.uk, nat@ura1507.univ-paris13.fr, neuron-request@CATTELL.PSYCH.UPENN.EDU, nl-kr@snyside.sunnyside.com, nonlin-l@list.nih.gov, reinforce@cs.uwa.edu.au, scivw-request@hitl.washington.edu, www@sigart.acm.org, annrules@fit.qut.edu.au Subject: Last Call for Papers: Second World Congress on IMP&S [connectionists] Date: Fri, 15 Nov 1996 16:07:19 +0000 My sincere apologies if you receive multiple copies of this message. !!! LAST ANNOUNCEMENT AND CALL FOR PAPERS !!! THE SECOND WORLD CONGRESS ON INTELLIGENT MANUFACTURING PROCESSES & SYSTEMS Budapest, Hungary June 10-13, 1997 ORGANIZED BY - Computer and Automation Research Institute, HAS - Technical University of Budapest SPONSORED BY - International Institution for Production Engineering Research (CIRP) CO-SPONSORED BY (INVITED) - American Society of Precision Engineering - Directorate General for Industry of the CEC - Hungarian Academy of Sciences - IEEE - Robotics and Automation Society - International Federation for Information Processing (IFIP) - International Federation of Automatic Control (IFAC) - International Neural Network Society (INNS) - International Society of Applied Intelligence (ISAI) - National Committee for Technological Development (OMFB), Hungary - Society of Manufacturing Engineers (SME) INTERNATIONAL HONORARY COMMITTEE (INVITED) I. Ham (USA) H.J.J. Kals (NL) H. Liebovitz (USA) E. Merchant (USA) J. Peters (B) G. Sohlenius (S) G. Spur (D) N.P. Suh (USA) Chairman H.J. Warnecke (D) H. Yoshikawa (J) INTERNATIONAL PROGRAM COMMITTEE Chairmen: V. Milacic (YU) Congress Founder L. Monostori (H) Congress Coordinator Invited Members: H. Adeli (USA) M.Ali (USA) G.Arndt (AUS) L.Alting (DK) J.K. Banerjee (USA) D.Barschdorff (D) G.A. Bekey (USA) J.Bokor (H) T.Borangiu (R) H.Van Brussel (B) R.Bueno (E) G.Byrne (IRL) G.Chryssolouris (GR) L.Cser (H) J.Deng (CH) D.Dornfeld (USA) G.Doumeingts (F) I. Dumitrache (R) K.F.Ehmann (USA) H.A.Elmaraghy (CDN) F.Erdelyi (H) R.Fenton (CDN) G.Forsyth (AUS) Y.Furukawa (J) M.Geiger (D) M.Grimble (GB) P.Groumpos (GR) M.Horvath (H) T.Hoshi (J) F.J.A.Van Houten (NL) I.Inasaki (J) K.Iwata (J) I.S.Jawahir (AUS) J.Jedrzejewski (PL) F.Jovane (I) M.J.Kalajdzic (YU) B.Katalinic (A) Z.Katz (ZA) L.Keviczky (H) S.Kim (ROK) F.Kimura (J) F. Klocke P.Kopacek (A) L.Kops (CDN) R.Kovacevic (USA) Gy.Kovacs (H) W.Koenig (D) F.L.Krause (D) J.P.Kruth (B) S.R.T.Kumara (USA) A.Kusiak (USA) R.Kuettner (EE) F.Le Maitre (F) J.Lenard (CDN) R.Levi (I) J.Liebowitz (USA) B.Lindstroem (S) S.C.Y.Lu (USA) V.Majstorovic (YU) M.Maentylae (SF) A.Markus (H) N.Martensson (S) L.A. Martin-Vega (USA) K.Molnar (H) T.Moriwaki (J) A.Y.C.Nee (SGP) L.Nemes (AUS) A.Novak (S) G.J.Olling (USA) P. Osanna (A) V.A.Ostafijev (UKR) J.Peklenik (SLO) T.Pfeifer (D) G.Pritschow (D) G.Putnik (P) E.V.Ryzhov (UKR) B.Sahay (IND) D.Serrano (USA) M.Shpitalni (IL) A.Siegler (H) M.Szafarczyk (PL) S.Takata (J) R.Teti (I) V.A.Tipnis (USA) T.Toth (H) H.K.Toenshoff (D) K.Ueda (J) T.Vamos (H) J.Vancza (H) T.Varady (H) L.A.M. Vega (USA) M.Veron (F) A.Villa (I) M.Wang (Taiwan) G.Warnecke (D) M.Weck (D) K.J.Weinmann (USA) E.Westkaemper (D) H.P.Wiendahl (D) H.Wortmann (NL) R.Yusupov (RUS) M.Zaremba (CDN) L.Zhu (CH) SCOPE OF THE CONGRESS The First World Congress on Intelligent Manufacturing Processes & Systems (IMP&S) was organized by Prof. V.R. Milacic and took place in Puerto Rico, 1995. It was a natural continuation of a number of activities performed in the past ten years, e.g. the International Seminars on Intelligent Manufacturing Systems organized in Dubrovnik in 1985, 1987 and 1989, and the International Workshops on Learning in Intelligent Manufacturing Systems held in Budapest, 1991 and 1995. The main objective of the Congress is to provide a world forum to exchange knowledge, experience, results and information related to various aspects of the factory for the future as a challenging frontier for manufacturing industry. The scope of the Congress covers philosophical, scientific, technological and practical concepts concerning research, development and realization of Intelligent Manufacturing Processes and Systems, offering a unique opportunity for experts to meet and exchange ideas in this highly relevant and exciting field. Topics of interest include, but are not limited to: - design and modelling - simulation - rapid and virtual prototyping - concurrent engineering - reverse engineering - life-cycle issues - process planning - continuos, discrete and hybrid processes - process modelling, monitoring and control - diagnostics and maintenance - automated inspection and quality control - high precision manufacturing - sensor assisted machining - production planning and control - scheduling - management decision systems - distributed and co-operative production - holonic systems - assembly and disassembly - robotics - sustainable manufacturing - virtual manufacturing - enterprise integration - globalisation - educational aspects - social aspects and job responsibilities - new organizations paradigms - applications of -signal processing, pattern recognition -expert systems, artificial neural networks -fuzzy and neuro-fuzzy models -learning techniques -global optimization techniques -hybrid approaches PAPERS Papers and proposals for special sessions are solicited in the areas listed in the topics of interest as well as in other areas within the scope of IMP&S. Three copies of draft papers (max. 12 A4 or letter size pages, single spaced, clearly indicating the name and full mailing address of the corresponding author) should be submitted to the IMP&S-97 Congress Secretariat. Please carefully follow Important Dates. PUBLICATION The Congress Proceedings will be available for the participants on the spot. Issue on CD is also considered. OFFICIAL LANGUAGE The official language of the Congress is English with no simultaneous translation. HOST CITY AND VENUE The Hungarian capital, Budapest, known as the ,Pearl of the Danube", is a bustling city of over two million inhabitants. Its architecture ranges from that left by the Romans to that of the present day. Structures of historic character standing on streets with a medieval atmosphere can be found as well as modern, well-planned, attractive housing estates and commercial buildings developed in harmony with the legacy of the past. This ancient yet modern city in the heart of Europe has a pleasant climate and is well accessible by plane, rail or car from all parts of the world. Accommodation from budget to luxury will be provided in hotels at/near the conference venue or within easy reach. FURTHER INFORMATION Scientific Program: Prof. Laszlo Monostori Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest, Hungary Fax: (+361) 166 7503, Phone: (+361) 166 5644 E-mail: laszlo.monostori@sztaki.hu Technical Organization: IMP&S-97 Congress Secretariat Ms. Eva Sos Computer and Automation Research Institute Hungarian Academy of Sciences Kende u. 13-17 H-1111 Budapest, Hungary Fax: (+361) 186 9378 Phone: (+361) 161 3442, (+361) 181 0511 E-mail: sos@sztaki.hu WWW http://www.sztaki.hu/data/conferences/imps/ IMPORTANT DATES Today Complete and Mail Reply Card or Contact the Organizers June 30, 1996 Proposals for Special Sessions December 15, 1996 Draft Papers January 20, 1996 Notification of Acceptance January 31, 1997 Advance Program February 28, 1997 Deadline for Final Papers June 10-13, 1997 Congress An additional notice: the Third World Congress on IMP&S will be held in June 1999 at MIT Boston, USA. Main contact person is Prof. Jung-Hoon Chun, Department of Mechanical Engineering, Associate Director of Manufacturing Institute, MIT. ************************************************* In case of interest, please complete and return the reply card to the Congress Secretariat. Thank you. ************************************************* REPLY CARD THE SECOND WORLD CONGRESS ON INTELLIGENT MANUFACTURING PROCESSES & SYSTEMS Budapest, Hungary June 10-13, 1997 Last name: First name, initials: Company/Organization: Mailing address: Post code: Town: Country: Phone: Fax: E-mail: I intend to _____ attend the Congress _____ present a paper Provisional paper title: ---------------------------------- From Dimitris.Dracopoulos@ens-lyon.fr Fri Nov 15 20:12:15 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id UAA24619 for ; Fri, 15 Nov 1996 20:12:08 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id UAA01524 for ; Fri, 15 Nov 1996 20:12:07 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa29051; 15 Nov 96 10:25:26 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29034; 15 Nov 96 10:02:47 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa02319; 15 Nov 96 10:01 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa26559; 15 Nov 96 9:08:27 EST Received: from cri.ens-lyon.fr by RI.CMU.EDU id aa08231; 15 Nov 96 9:07:24 EST Received: from lip.ens-lyon.fr (lip [140.77.11.11]) by cri.ens-lyon.fr (8.8.2/8.8.1) with ESMTP id PAA14475; Fri, 15 Nov 1996 15:07:00 +0100 (MET) Received: from banyuls.ens-lyon.fr (banyuls [140.77.11.78]) by lip.ens-lyon.fr (8.8.2/8.8.0) with ESMTP id PAA19751; Fri, 15 Nov 1996 15:06:43 +0100 (MET) From: Dimitris Dracopoulos Received: (from ddracopo@localhost) by banyuls.ens-lyon.fr (8.8.2/8.8.0) id PAA01059; Fri, 15 Nov 1996 15:06:41 +0100 (MET) Date: Fri, 15 Nov 1996 15:06:41 +0100 (MET) Message-Id: <199611151406.PAA01059@banyuls.ens-lyon.fr> To: connectionists@cs.cmu.edu, genetic-programming@cs.stanford.edu, gann-list@cs.cmu.edu, intcon@phoenix.ee.unsw.edu.au, evolutionary-computing@mailbase.ac.uk, GA-List@AIC.NRL.NAVY.MIL, cs-academic@brunel.ac.uk Subject: Last CFP: Neural and Evolutionary Algorithms for Intelligent Control X-Sun-Charset: US-ASCII NEURAL AND EVOLUTIONARY ALGORITHMS FOR INTELLIGENT CONTROL ---------------------------------------------------------- L A S T C A L L F O R P A P E R S Special Session in: "15th IMACS World Congress 1997 on Scientific Computation, Modelling and Applied Mathematics", August 24-29 1997, Berlin, Germany Special Session Organizer-Chair: Dimitri C. Dracopoulos ------------------------------- (Ecole Normale Superieure de Lyon, LIP and Brunel University, London) Scope: ----- The focus of the session will be in the latest developments of the state-of-the-art neurocontrol and evolutionary techniques. Today, many advanced intelligent control applications utilize methods like the above, and papers describing these are mostly welcome. Theoretical discussions of how these techniques can be proved to be stable are also highly welcome. Topics: ------ -Neurocontrollers * optimization over time * adaptive critic designs * brain-like neurocontrollers -Evolutionary techniques as pure controllers * genetic algorithms * evolutionary programming * genetic programming -Hybrid methods (neural nets + evolutionary algorithms) -Theoretical and Stability issues for neuro-evolutionary control -Advanced Control Applications Paper Contributions: -------------------- Each paper will be published in the Proceedings of the IMACS'97 World Congress. The accepted papers will be orally presented (25 minutes each, including 5 min for discussion). Important dates: ---------------- December 5, 1996, Deadline for receiving papers. January 10, 1997, Notification of acceptance. February 1997, Author typing instructions, for camera-ready copies. Submission guidelines: --------------------- One hardcopy, 6 pages limit, 10pt font, should be sent to the Session Chair: Professor Dimitri C. Dracopoulos Laboratoire de l' Informatique du Parallelisme (LIP) Ecole Normale Superieure de Lyon 46 Allee d'Italie 69364 Lyon - Cedex 07, France. In the case of multiple authors then in the paper it should be indicated which author is to receive correspondence. The corresponding author is requested to include in the cover letter: complete postal address, e-mail address, phone number, fax number, a list of keywords (no more than 5). ** Electronic submissions (in postscript format) will be accepted. ** More information (preliminary) on the "15th IMACS World Congress 1997" can be found in: "http://www.first.gmd.de/imacs97/". Please note that special discounted registration fees (proceedings but no social program) will be available. -- Professor Dimitris C. Dracopoulos Laboratoire de l' Informatique du Parallelisme (LIP) Telephone: +33 (0) 472728504 Ecole Normale Superieure de Lyon Fax: +33 (0) 472728080 46 Allee d'Italie E-mail: Dimitris.Dracopoulos@ens-lyon.fr 69364 Lyon - Cedex 07 France From esann@dice.ucl.ac.be Fri Nov 15 20:12:18 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id UAA24617 for ; Fri, 15 Nov 1996 20:12:07 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id UAA01522 for ; Fri, 15 Nov 1996 20:12:05 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa29032; 15 Nov 96 10:14:58 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29030; 15 Nov 96 10:01:57 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa02312; 15 Nov 96 10:01 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa26317; 15 Nov 96 8:54:47 EST Received: from ns1.dice.ucl.ac.be by CS.CMU.EDU id aa22068; 15 Nov 96 8:53:48 EST Received: from [130.104.31.81] (Roger-Rabbit [130.104.31.81]) by ns1.dice.ucl.ac.be (8.8.2/13.12.95) with SMTP id OAA05052; Fri, 15 Nov 1996 14:51:02 +0100 (MET) Message-Id: <199611151351.OAA05052@ns1.dice.ucl.ac.be> X-Sender: esann@ns1.dice.ucl.ac.be. Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Fri, 15 Nov 1996 14:53:36 +0200 To: NEURO1-L@UICVM.UIC.EDU, neuron-request@CATTELL.psych.upenn.edu, Connectionists@cs.cmu.edu, enns-list@dcs.kcl.ac.uk, neur-sci@dl.ac.uk, comp-neuro@smaug.bbb.caltech.edu, frog-net@rana.usc.edu, echos@dmi.ens.fr, cogni-info@univ-lyon1.fr, neuropl@plearn.edu.pl, neuron@CATELL20.psych.upenn.edu, echos@dmi.ens.fr, connex-l@ucd.ie From: esann@dice.ucl.ac.be Subject: ESANN'97 final call for papers --------------------------------------------------- | European Symposium | | on Artificial Neural Networks | | | | Bruges - April 16-17-18, 1997 | | | | Final announcement and call for papers | --------------------------------------------------- Dear colleagues, This is to remind you that the deadline for the submission of papers to ESANN'97, the European Symposium on Artificial Neural Networks, is November 29, 1997. All information about this conference and the submission of papers is available on the ESANN WWW server: http://www.dice.ucl.ac.be/neural-nets/esann or can be sent by e-mail upon request. If you intend to submit a paper to ESANN'97, and if you think that you will have difficulties to meet exactly the deadline, please send a fax to the conference secretariat with the title of the paper, the authors and the abstract (even if not definitive); this will accelerate the processing of your paper after reception, and will give us the possibility to contact you if we do not receive it. Thank you in advance for your contribution to ESANN'97! Sincerely yours, Michel Verleysen _____________________________ _____________________________ D facto publications - Michel Verleysen conference services Univ. Cath. de Louvain - DICE 45 rue Masui 3, pl. du Levant 1000 Brussels B-1348 Louvain-la-Neuve Belgium Belgium tel: +32 2 203 43 63 tel: +32 10 47 25 51 fax: +32 2 203 42 94 fax: +32 10 47 25 98 esann@dice.ucl.ac.be verleysen@dice.ucl.ac.be http://www.dice.ucl.ac.be/neural-nets/esann _____________________________ _____________________________ From doya@erato.atr.co.jp Sat Nov 16 08:18:57 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id IAA29161 for ; Sat, 16 Nov 1996 08:18:51 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id IAA05972 for ; Sat, 16 Nov 1996 08:18:49 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa00315; 16 Nov 96 1:14:31 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa00195; 16 Nov 96 0:50:51 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa03370; 16 Nov 96 0:49 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa15629; 15 Nov 96 23:06:08 EST Received: from [133.186.90.1] by CS.CMU.EDU id aa00273; 15 Nov 96 23:05:11 EST Received: from dorothy.erato.atr.co.jp (dorothy.erato.atr.co.jp [133.186.91.2]) by canal.erato.atr.co.jp (8.7.6+2.6Wbeta7/3.5Wbeta-10/23/96) with ESMTP id NAA01668; Sat, 16 Nov 1996 13:04:02 +0900 (JST) Received: from dorothy (localhost [127.0.0.1]) by dorothy.erato.atr.co.jp (8.7.6+2.6Wbeta7/3.5Wbeta-10/29/96) with ESMTP id NAA02154; Sat, 16 Nov 1996 13:03:30 +0900 (JST) Message-Id: <199611160403.NAA02154@dorothy.erato.atr.co.jp> To: Connectionists@cs.cmu.edu, comp-neuro@bbb.caltech.edu Subject: Position available: Kawato Dynamic Brain Project X-Mailer: Mew version 1.03 on Emacs 19.28.1, Mule 2.3 Mime-Version: 1.0 Content-Type: Text/Plain; charset=us-ascii Date: Sat, 16 Nov 1996 13:03:29 +0900 From: Kenji Doya Research Position, Kawato Dynamic Brain Project, JSTC Postdoctoral research positions will be available April 1997 in Kawato Dynamic Brain Project, a part of the Exploratory Research for Advanced Technology (ERATO) program run by Japan Science and Technology Corporation, a government sponsored agency. The goal of this five year project (October 1996 - September 2001) is to understand the brain mechanisms of human cognition and sensory-motor learning to the extent that we can reproduce them as computer programs and robotic systems. Candidates must have strong background in mathematical, computational, neurobiological, cognitive and/or robotic sciences, and should have broad interests in one or more of the following research areas: (1) Computational Neurobiology: models of cerebellum, basal ganglia and cortical motor areas; dynamic computation in visual processing; encoding of of hierarchical sequences in the brain (speech and songs); learning of rhythmic and transient motor patterns (stand up to walk). (2) Computational Psychology: process of visuo-motor coordinate transformation and trajectory planning; objective functions for natural biological motion; functional brain imaging (fMRI, PET, MEG); human motor psychophysical experiments. (3) Computational Learning: modular function approximation algorithms; reinforcement learning in real time; principles of nonlinear dynamics for perceptual-motor coordination; robot learning from human demonstration; building of a humanoid robot with dextrous arms and oculomotor systems; motor psychophysical experiments which compare robot and human behavior. Detailed descriptions of the project is being placed in our Web page: http://www.erato.atr.co.jp/ The project is currently located in Advanced Telecommunications Research Institute International (ATR-I), where a considerably multi-national, multi-lingual community has selforganized. Applicants must have Ph.D. or equivalent degree. Appointments will be made for one or two years with possible extensions. Salaries are competitive. Please send a CV, a list of publications, copies of up to three major publications, names and addresses of up to three references, and a cover letter describing your research interests to: Search Comittee Kawato Dynamic Brain Project, JSTC 2-2 Hikaridai, Seika-cho, Soraku-gun Kyoto 619-02, Japan In order to receive full consideration, applications must be received by January 15, 1997. The search, however, will continue beyond this date until all positions are filled. Please, feel free to inquire about the specifics of the positions by sending mail to: email: search@erato.atr.co.jp fax: +81-774-95-3001 For general information about ERATO reserach positions, see http://www2.jst-c.go.jp/jst/erato/erato-e/NewPositions/ **************************************************************** Kenji Doya Computational Neurobiology Group Kawato Dynamic Brain Project, Japan Science and Technology Corp. 2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-02, Japan tel:+81-774-95-1210 email:doya@erato.atr.co.jp fax:+81-774-95-3001 http://www.erato.atr.co.jp/~doya From akg@enterprise.arl.psu.edu Sat Nov 16 16:52:47 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id QAA03851 for ; Sat, 16 Nov 1996 16:52:41 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.6.12/8.6.12) with SMTP id QAA00844 for ; Sat, 16 Nov 1996 16:52:40 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa00189; 16 Nov 96 1:04:31 EST Received: from OLS.IUS.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa00187; 16 Nov 96 0:50:01 EST Received: from OLS.IUS.CS.CMU.EDU by ols.ius.cs.cmu.edu id aa03364; 16 Nov 96 0:49 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa09775; 15 Nov 96 17:15:51 EST Received: from enterprise.arl.psu.edu by CS.CMU.EDU id aa27313; 15 Nov 96 17:15:04 EST Received: from wisdom.arl.psu.edu (wisdom.arl.psu.edu [128.118.19.192]) by enterprise.arl.psu.edu (8.6.12/8.6.12) with ESMTP id RAA08688; Fri, 15 Nov 1996 17:15:00 -0500 Received: (from akg@localhost) by wisdom.arl.psu.edu (8.7.5/8.7.3) id RAA27310; Fri, 15 Nov 1996 17:14:47 -0500 (EST) Date: Fri, 15 Nov 1996 17:14:47 -0500 (EST) Message-Id: <199611152214.RAA27310@wisdom.arl.psu.edu> From: "Amulya K. Garga" To: Connectionists@cs.cmu.edu Subject: CFP: ICNN'97 Special Session on NN for Monitoring Complex Systems CALL FOR PAPERS Special Session on Neural Networks Applications for Monitoring Complex Systems at the International Conference on Neural Networks 1997 Westin Galleria Hotel Houston, Texas 9-12 June 1997 SUBMISSION DEADLINE: 30 November 1996. ORGANIZER: Amulya K. Garga Applied Research Lab, The Pennsylvania State University garga@psu.edu This session will consist of invited and submitted papers in the area of Neural Networks Applications for Monitoring Complex Systems. We welcome submissions describing applied work utilizing neural networks, fuzzy logic, AI, or any other techniques relevant to the main themes of ICNN'97. SUMMARY: In recent years, extensive neural networks research has focused on the problem of monitoring complex systems. Applications include condition-based maintenance for complex machinery (e.g., in which mechanical systems are monitored to determine their current state and predict their remaining useful life), monitoring of industrial processes, and medical applications such as health monitoring and diagnosis. These applications involve the need for pattern recognition, non-linear predictive modeling, representation of imprecise information, implicit approximate reasoning. A number of researchers have investigated the application of neural networks to these problems. These applications have proven to be particularly challenging because of such factors as poor observability (e.g., low signal-to-noise ratios), the need to identify so-called rare events (e.g., failure events), multiple time-scale phenomena, the need to recognize context-based changes to operating conditions, and the general lack of available training data. The applications provide both a showcase for demonstrating the utility of neural networks, as well providing unique challenges whose solutions require advances in neural network theory and practice. Realistic solutions require a multi-disciplinary approach involving physical modeling of non-linear systems and of sensor technologies, multi-sensor data fusion, statistical signal processing, and artificial intelligence methods. The solution of these application problems should have international societal impacts including improved safety for mechanical systems, reduced costs, and the potential for improved health care through semi-automated monitoring and diagnosis. To date this rapidly evolving research has only been reported in specialized conferences without wide recognition or attention. Research is being performed in many countries including the U.S., Canada, Japan, Australia, and many European countries. This special session is important and timely and is intended to provide a forum where the international neural network community as well as to the application community can present mutually applicable and beneficial contributions. In addition, the session would provide the international research community with access to data sets for future neural network research. PAPER SUMISSION: Submissions need to conform to the format specified for ICNN'97: Six copies (one original and five copies) of the paper must be submitted. Papers must be camera-ready on 8 1/2 by 11 white paper, one-column format in Times or similar font style, 10 points or larger with one inch margins on all four sides. Do not fold or staple the original camera-ready copy. Four pages are encouraged; however, the paper must not exceed six pages, including figures, tables, and references, and should be written in English. Submissions that do not adhere to the guidelines above will be returned unreviewed. Centered at the top of the first page should be the complete title, author name(s), and postal and electronic mailing addresses. In the accompanying letter, the following information must be included: Full Title of the Paper Technical Area (First and Second Choices) Corresponding Author (Name, Postal and E-Mail Addresses, Tel. & FAX Nos) Your papers should be RECEIVED at the following address by 30 NOVEMBER 1996: Ms. Leanne Zindler Applied Research Laboratory The Pennsylvania State University P.O. Box 30 North Atherton Street State College, PA 16804-0030, USA Phone: +1 814-863-4344 If you have already submitted a relevant paper in response to the original ICNN'97 call for papers, please notify the ICNN'97 technical program coordinator (Prof. J. M. Keller, keller@ece.missouri.edu) that you would like to be considered for this session. PAPER REVIEW: The papers will undergo a review process similar to the other papers being considered for ICNN'97. Accepted papers will also appear in the proceedings of the ICNN'97. TIMETABLE: Paper sumission: 30 November 1996 Review complete: 2 January 1997 Revised sumission: 1 February 1997 ICNN'97 is sponsored by: IEEE Neural Network Council (NNC) and International Neural Network Society (INNS). URLs: This CFP: http://wisdom.arl.psu.edu/People/akg/NNMonCS.html ICNN'97: http://www.eng.auburn.edu/department/ee/ICNN97/icnn.htm http://www.mindspring.com/~pci-inc/ICNN97/ http://wwweng.uwyo.edu/icnn97/ IEEE NNC: http://www.ieee.org/nnc/ INNS: http://cns-web.bu.edu/inns/ -- Amulya K. Garga, Ph.D. | Email: garga@psu.edu Applied Research Laboratory | http://wisdom.arl.psu.edu/People/Amulya_Garga P.O. Box 30 | Phone: 814-863-5841 Fax: 814-863-0673 State College, PA 16804-0030 |