From pci-inc@aub.mindspring.com Sun Oct 20 16:20:34 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 QAA20379 for ; Sun, 20 Oct 1996 16:20:30 -0500 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 QAA03615 for ; Sun, 20 Oct 1996 16:20:28 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa25082; 20 Oct 96 16:17:11 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa25080; 20 Oct 96 15:56:27 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa12385; 20 Oct 96 15:55:57 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa13684; 20 Oct 96 13:29:21 EDT Received: from itchy.mindspring.com by EDRC.CMU.EDU id aa12617; 20 Oct 96 13:27:24 EDT Received: from LOCALNAME (user-168-121-184-157.dialup.mindspring.com [168.121.184.157]) by itchy.mindspring.com (8.7.5/8.7.3) with SMTP id NAA26727 for ; Sun, 20 Oct 1996 13:27:15 -0400 (EDT) Message-Id: <2.2.16.19961020161336.65e77652@pop.aub.mindspring.com> X-Sender: pci-inc@pop.aub.mindspring.com X-Mailer: Windows Eudora Pro Version 2.2 (16) Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Sun, 20 Oct 1996 12:13:36 -0400 To: connectionists@cs.cmu.edu From: Mary Lou Padgett Subject: AMARI: WCNN Announcement AMARI: WCNN Announcement PRESIDENTIAL ANNOUNCEMENT OF ACTION TAKEN BY INNS BOARD OF GOVERNORS AT WCNN'96 IN SAN DIEGO, SEPTEMBER 17, 1996: In the last few years, many members of INNS have expressed dissatisfactin with the existence of two major, competing neural network meetings in North America. A number of months ago, IEEE and INNS began informal discussions about the possibility of reinstituting cooperation. This week, we had further contacts with IEEE, and the INNS Board Members have made a strong decision to proceed to reinstitute the tradition of joint meetings, perhaps as early as 1997. There are certain details which need to be worked out, and decisioins which need to be approved. In the spirit of cooperation, the INNS Board has elected to replace the planned 1997 INNS meetng in Boston by supporting the meeting in Houston next June, let this time by IEEE, by offering a strong INNS technical involvement. WE REMIND YOU THE PAPER SUBMISSION DEADLINE FOR THE HOUSTON MEETING IS SET AT NOVEMBER 1 (NOV. 15 FOR INNS MEMBERS ONLY). We trust that we will later be able to follow a pattern of alternating the lead roles, as we did with IJCNNs in the past. We urge all of you to plan to join wiht us in Houston, to help support this effort to reunite the neural network community. SHUN-ICHI AMARI Note: See the new web page for the JOINT MEETING for 1997. http://www.mindspring.com/~pci-inc/ICNN97 Send papers to Dan Levine, Co-Program Chair. Mary Lou Padgett 1165 Owens Road Auburn, AL 36830 P: (334) 821-2472 F: (334) 821-3488 m.padgett@ieee.org Auburn University, EE Dept. Padgett Computer Innovations, Inc. (PCI) Simulation, VI, Seminars IEEE Standards Board -- Virtual Intelligence ( VI): NN, FZ, EC, VR From gcv@di.ufpe.br Mon Oct 21 12:42:24 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 MAA06607 for ; Mon, 21 Oct 1996 12:42:14 -0500 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 MAA16059 for ; Mon, 21 Oct 1996 12:42:12 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26147; 21 Oct 96 11:35:25 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26145; 21 Oct 96 11:22:34 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13352; 21 Oct 96 11:21:58 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa27838; 21 Oct 96 9:28:08 EDT Received: from recife.di.ufpe.br by RI.CMU.EDU id aa07707; 21 Oct 96 9:26:46 EDT Received: from caruaru (caruaru.di.ufpe.br) by di.ufpe.br (4.1/SMI-4.1) id AA13881; Mon, 21 Oct 96 09:51:15 EST Received: by caruaru (SMI-8.6/SMI-SVR4) id KAA21156; Mon, 21 Oct 1996 10:51:41 -0200 Date: Mon, 21 Oct 1996 10:51:41 -0200 From: gcv@di.ufpe.br Message-Id: <199610211251.KAA21156@caruaru> To: brasnnet@neuron.ffclrp.usp.br, capes-l@listas.ansp.br, cnpq-l@listas.ansp.br, comp.ai.neural-nets@di.ufpe.br, connectionists@cs.cmu.edu, gann-list@cs.iastate.edu, hybrid-list@cs.ua.edu, pesquisa@di.ufpe.br, posgrad@di.ufpe.br, sbc-l@rio.cos.ufrj.br, users@di.ufpe.br Subject: CFP: JBCS on Neural Networks Cc: gcv@di.ufpe.br Journal of The Brazilian Computer Society (JBCS) CALL FOR PAPERS Special Issue on NEURAL NETWORKS (Tentative Publication Date, July, 1997) Guest Editors: Edson de Barros Carvalho Filho, DI-UFPE and Germano Vasconcelos, DI-UFPE The Journal of the Brazilian Computer Society (JBCS) is an international quarterly publication of the Sociedade Brasileira de Computao (SBC) which serves as a forum for disseminating innovative research in all aspects of Computer Science. The approach of Neural Networks has been widely used in a large variety of problems in Computer Science and in other scientific disciplines making this subject one of the most currently attractive field of investigation. In its 11th edition, celebrating the realisation of the third Brazilian Symposium on Neural Networks, sponsored by SBC, the JBCS is planning a Special Issue on Neural Networks and welcomes worldwide submissions describing original ideas and new results in this topic. Papers may be practical or theoretical in nature. Suggested topics include but are not limited to: * Theoretical Models * Algorithms and Architectures * Biological Perspectives * Cognitive Science * Hybrid Systems * Neural Networks and Fuzzy Systems * Neural Networks and Genetic Algorithms * Pattern Recognition * Control and Robotics * Optimization * Hardware Implementation * Environments & Tools * Prediction * Vision and Image Processing * Speech and Language Processing * Other Applications The purpose of this special edition is to allow fast publication of relevant and original research within six months after paper submission. INSTRUCTIONS TO AUTHORS Contributions will be considered for publication in JBCS if they have not been previously published and are not under consideration for publication elsewhere. Acceptance of papers for publication is subject to a peer review procedure and is conditional to revisions being made given comments from referees. Format details for final submission procedure will be provided for accepted papers. Authors must submit the final version in electronic format, and should provide hard-copy versions for refereeing. Submitted papers are to be written in English and typed double-spaced on one side of white A4 sized paper. Each paper should contain no more than 20 pages, including all text, figures and references. The final manuscript should be approximately 8000 words in length. Submissions will be judged on significance, originality, quality and clarity. Reviewing will be blind to the identities of the authors, so the authors should take care not to identify themselves in the paper: * The submitted manuscript should contain only the paper title and a short abstract. Authors names, affiliations, and the complete mailing address (both postal and email) of the person to whom correspondence should be sent, should be included in an accompanying letter. * No acknowledgment should be included in the version for refereeing (it can be included in the final version of the paper). * There should be no reference to unpublished work by the authors (thesis, working papers). These references can be included in the final version of the paper. * When referring to one's own work, use the third person. For example, say "previously, [Peter1993] has shown that ...", instead of "the author [Peter1993] has shown that ..." All contributions will be acknowledged and refereed. SUBMISSION PROCEDURE Please submit 4 copies of the paper to the Special Issue Editor Germano Crispim Vasconcelos Departamento de Informatica Universidade Federal de Pernambuco Caixa Postal 7851 50732-970, Recife - PE Brazil email: gcv@di.ufpe.br fax: +55 81 2718438 IMPORTANT DATES Submission Deadline January 20, 1997 (PAPERS MUST BE RECEIVED BY THIS DATE - FIRM DEADLINE) Notification of Acceptance March 20, 1997 Final Electronic Version April 20, 1997 Tentative Publication Date July, 1997 For additional information on the Journal, and on how to prepare the manuscript to minimize final version delays, contact the editors or consult webpage http://www.dcc.unicamp.br/~jbcs/cameraready.html From wray@ultimode.com Mon Oct 21 12:42:27 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 MAA06610 for ; Mon, 21 Oct 1996 12:42:19 -0500 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 MAA16063 for ; Mon, 21 Oct 1996 12:42:13 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26158; 21 Oct 96 11:44:46 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26149; 21 Oct 96 11:25:39 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13369; 21 Oct 96 11:23:54 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa15583; 20 Oct 96 16:52:41 EDT Received: from ultimode.com by EDRC.CMU.EDU id aa13092; 20 Oct 96 16:51:54 EDT Received: (from wray@localhost) by ultimode.com (8.7.5/8.7.3) id NAA17902; Sun, 20 Oct 1996 13:58:06 GMT Date: Sun, 20 Oct 1996 13:58:06 GMT From: Wray Buntine Message-Id: <199610201358.NAA17902@ultimode.com> To: connectionists@cs.cmu.edu Subject: tutorial slides available on graphical models, and on priors Cc: wray@ultimode.com The following slides were prepared for the NATO Workshop on Learning in Graphical Models, just held in Erice, Italy, Sept. 1996. Actually, these are *revised* from the Erice workshop so those in attendance might like to update too. They are available over WWW but not yet available via FTP. You'll find them at my web site: http://WWW.Ultimode.com/~wray/refs.html#tutes Also, please note my new location and email address, given at the end. The graphical models and exponential family talk contains an introduction to lots of learning algorithms using graphical models. Included is an analysis with proofs of the much-hyped mean field algorithm in its general case for the exponential family (as you might have guessed, mean field is simple once you strip away the physics), and lots more. This talk also contains how I believe Gibbs, EM, k-means, and deterministic annealing should be taught (as variants of one another). Computation with the Exponential Family and Graphical Models ============================================================ This tutorial plays two roles: to illustrate how graphical models can be used to present models and algorithms for data analysis, and to present computational methods based on the Exponential Family, a central concept for computational data analysis. The Exponential Family is the most important family of probability distributions. It includes the Gaussian, the binomial, the Poisson, and others. It has unique computational properties: all fast algorithms for data analysis, to my knowledge, have some version of the exponential family at their core. Every student of data analysis, regardless of their discipline (computer science, neural nets, pattern recognition, etc.) should therefore understand the Exponential Family and the key algorithms which are based on them. This tutorial presents the Exponential Family and algorithms using graphical models: Bayesian networks and Markov networks (directed and undirected graphs). These graphical models represent independence and therefore neatly display many of the essential details of the algorithms and models based around the exponential family. Algorithms discussed are the Expectation-Maximization (EM) algorithm, Gibbs sampling, k-means, deterministic annealing, Scoring, Iterative Reweighted Least Squares (IRLS), Mean Field, and Iterative Proportional Fitting (IPF). Connections between these different algorithms are given, and the general formulations presented, in most cases, are readily adapted to arbitrary Exponential Family distributions. The priors tutorial was a *major* revision from my previous version. Those with the older version should update! Prior Probabilities =================== Prior probabilities are the center of most of the old controversies surrounding Bayesian statistics. While the Bayesian/Classical distinctions in statistics are becoming blurred, priors remain a problem, largely because of a lack of good tutorial material and the unfortunate residue of previous misunderstandings. Methods for developing and assessing priors are now routinely used by experienced practitioners. This tutorial will review some of the issues, presenting a view that incorporates decision theory and multi-agent reasoning. First, some perspectives are given: applications, theory, parameters and models, and the role of the decision being made. Then, basic principles are presented: Jaynes' Principle of Invariance is a generalization of Laplace's Principle of Indifference that allows a specification of ignorance to be converted into a prior. A prior for non-linear regression is developed, and the important role of a "measure", over-fitting, and priors on multinomials are presented. Issues such as subjectivity versus objectivity, Occam's razor, various paradoxes, maximum entropy methods, and the so-called non-informative & reference priors are also presented. A bibliography is included. Wray Buntine ============ Consultant to industry and NASA, and Visiting Scientist at EECS, UC Berkeley working on probabilistic methods in computer-aided design of ICs with Dr. Andy Mayer and Prof. Richard Newton. Ultimode Systems, LLC Phone: (415) 324 3447 555 Bryant Str. #186 Email: wray@ultimode.com Palo Alto, 94301 http://WWW.Ultimode.com/~wray/ From krista@nucleus.hut.fi Mon Oct 21 21:38:06 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 VAA24046 for ; Mon, 21 Oct 1996 21:37:55 -0500 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 VAA27340 for ; Mon, 21 Oct 1996 21:37:53 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab26158; 21 Oct 96 11:46:12 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26156; 21 Oct 96 11:35:54 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13363; 21 Oct 96 11:23:24 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa23611; 21 Oct 96 3:40:57 EDT Received: from santra.hut.fi by RI.CMU.EDU id aa06514; 21 Oct 96 3:40:07 EDT Received: from nucleus (nucleus.hut.fi [130.233.168.42]) by santra.hut.fi (8.7.5/8.7.3) with SMTP id KAA03488 for <@hut.fi:connectionists@cs.cmu.edu>; Mon, 21 Oct 1996 10:40:01 +0300 (EET DST) Received: from localhost by nucleus via SMTP (950215.SGI.8.6.10/940406.SGI) for id KAA01731; Mon, 21 Oct 1996 10:39:53 +0300 Date: Mon, 21 Oct 1996 10:39:53 +0300 (EET DST) From: Krista Lagus X-Sender: krista@nucleus To: connectionists@cs.cmu.edu Subject: (1st CFP) WSOM - Workshop on Self-Organizing Maps Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII CALL FOR PAPERS W O R K S H O P O N S E L F - O R G A N I Z I N G M A P S Helsinki University of Technology, Finland June 4-6, 1997 The Self-Organizing Map (SOM) with its variations is the most popular artificial neural network algorithm in the unsupervised learning category. Over 2000 applications have been reported in the open literature, and more and more industrial projects are using the SOM as a tool for solving hard real-world problems. The WORKSHOP ON SELF-ORGANIZING MAPS (WSOM) is the first international meeting to be solely dedicated to the theory and applications of the SOM. People from universities, research institutes, industry, and commerce are invited to join the Workshop and share their views and expertise on the use of the SOM. WORKSHOP The workshop will consist of a tutorial short course on SOM given by prof. Teuvo Kohonen, an opening plenary talk given by prof. Helge Ritter, presentations on various aspects of the SOM given by internationally known experts, and technical contributions. Also poster presentations will be arranged. SCOPE The scope of the Workshop is the Self-Organizing Map with its variants, including but not limited to - theory and analysis; - engineering applications like pattern recognition, process control, and telecommunications; - data analysis and financial applications; - information retrieval and natural language processing applications; - implementations. SUBMISSION Prospective authors are invited to submit papers on any aspect of SOM, including the areas listed above. The paper submission deadline will be March 1, 1997. Detailed information about the submission procedure, as well as registration, accommodation, etc. will soon be available on the Web page http://nucleus.hut.fi/wsom/ CO-OPERATING SOCIETIES This is a satellite workshop of the 10th Scandinavian Conference on Image Analysis (SCIA) to be held on June 9 to 11 in Lappeenranta, Finland, arranged by the Pattern Recognition Society of Finland. Other co-operating societies are the European Neural Network Society (ENNS), IEEE Finland Section, and the Finnish Artificial Intelligence Society. Teuvo Kohonen, WSOM Chairman Erkki Oja, Program Chairman Olli Simula, Organization Chairman From cabestan@eel.upc.es Tue Oct 22 13:48:45 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 NAA12805 for ; Tue, 22 Oct 1996 13:48:37 -0500 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 NAA11296 for ; Tue, 22 Oct 1996 13:48:32 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26439; 21 Oct 96 15:47:31 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26437; 21 Oct 96 15:37:19 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13753; 21 Oct 96 15:36:20 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa24363; 21 Oct 96 4:44:28 EDT Received: from diable.upc.es by CS.CMU.EDU id aa01418; 21 Oct 96 4:43:47 EDT Received: from petrus.upc.es (petrus.upc.es [147.83.49.7]) by diable.upc.es (8.7.6/8.7.3) with ESMTP id KAA05559; Mon, 21 Oct 1996 10:36:55 +0200 (MET DST) Received: from backus.upc.es (maripili [147.83.49.51]) by petrus.upc.es (8.7.4/8.7.3) with ESMTP id KAA12078 for ; Mon, 21 Oct 1996 10:26:17 +0200 (MET DST) Message-Id: <199610210826.KAA12078@petrus.upc.es> From: Joan Cabestany To: iwann-list@eel.upc.es MMDF-Warning: Parse error in original version of preceding line at DST.BOLTZ.CS.CMU.EDU Subject: IWANN'97 final announcement and Call for Papers Date: Mon, 21 Oct 1996 10:27:26 +0100 X-MSMail-Priority: Normal X-Priority: 3 X-Mailer: Microsoft Internet Mail 4.70.1155 MIME-Version: 1.0 Content-Type: text/plain; charset=ISO-8859-1 Content-Transfer-Encoding: 8bit Dear collegue, please find herewith the Call for Papers and final Announcement of IWANN'97 (International Work-Conference on Artificial and Natural Neural Networks) to be held in Lanzarote - Canary Islands (Spain) next June 4-6, 1997. If you need more details, feel free for contact me: cabestan@eel.upc.es I am sorry if you receive this message from several distribution lists. Yours, Joan Cabestany **************************************************************************** *** IWANN'97 - Final Call for Papers INTERNATIONAL WORK-CONFERENCE ON ARTIFICIAL AND NATURAL NEURAL NETWORKS Biological and Artificial Architectures, Technologies and Applications Contact URL http://petrus.upc.es/iwann97.html Lanzarote - Canary Islands, Spain June 4-6, 1997 ORGANIZED BY Universidad Nacional de Educacion a Distancia (UNED), Madrid Universidad de Las Palmas de Gran Canaria Universidad Politecnica de Catalunya Universidad de Malaga Universidad de Granada IN COOPERATION WITH Asociacion Espaola de Redes Neuronales (AERN) IFIP Working Group in Neural Computer Systems, WG10.6 Spanish RIG IEEE Neural Networks Council UK&RI Communication Chapter of IEEE IWANN'97. The fourth International Workshop on Artificial Neural Networks, now changed to International Work-Conference on Artificial and Natural Neural Networks, will take place in Lanzarote, Canary Islands (Spain) from 4 to 6 of June, 1997. This biennial meeting with focus on biologically inspired and more realistic models of natural neurons and neural nets and new hybrid computing paradigms, was first held in Granada (1991), Sitges (1993) and Torremolinos, Malaga (1995) with a growing number of participants from more than 20 countries and with high quality papers published by Springer-Verlag (LNCS 540, 686 and 930). SCOPE Neural computation is considered here in the dual perspective of analysis (as science) and synthesis (as engineering). As a science of analysis, neural computation seeks to help neurology, brain theory, and cognitive psychology in the understanding of the functioning of the Nervous Systems by means of computational models of neurons, neural nets and subcellular processes, with the possibility of using electronics and computers as a "laboratory" in which cognitive processes can be simulated and hypothesis proven without having to act directly upon living beings. As a synthesis engineering, neural computation seeks to complement the symbolic perspective of Artificial Intelligence (AI), using the biologically inspired models of distributed, self-programming and self-organizing networks, to solve those non-algorithmic problems of function approximation and pattern classification having to do with changing and only partially known environments. Fault tolerance and dynamic reconfiguration are other basic advantages of neural nets. In the sea of meetings, congresses and workshops on ANN's, IWANN'97 focus on the three subjects that most concern us: (1) The seeking of biologically inspired new models of local computation architectures and learning along with the organizational principles behind of the complexity of intelligent behavior. (2) The searching for some methodological contributions in the analysis and design of knowledge-based ANN's, instead of "blind nets", and in the reduction of the knowledge level to the sub-symbolic implementation level. (3) The cooperation with symbolic AI, with the integration of connectionist and symbolic processing in hybrid and multi-strategy approaches for perception, decision and control tasks, as well as for case-based reasoning, concepts formation and learning. To contribute to the posing and partially solving of these global topics, IWANN'97 offer a brain-storming interdisciplinary forum in advanced Neural Computation for scientists and engineers from biology neuroanatomy, computational neurophysiology, molecular biology, biophysics, linguistics, psychology, mathematics and physics, computer science, artificial intelligence, parallel computing, analog and digital electronics, advanced computer architectures, reverse engineering, cognitive sciences and all the concerned applied domains (sensory systems and signal processing, monitoring, diagnosis, classification and decision making, intelligent control and supervision, perceptual robotics and communication systems). Contributions on the following and related topics are welcome. TOPICS 1. Biological Foundations of Neural Computation: Principles of brain organization. Neuroanatomy and Neurophysiology of synapses, dendro-dendritic contacts, neurons and neural nets in peripheral and central areas. Plasticity, learning and memory in natural neural nets. Models of development and evolution. The computational perspective in Neuroscience. 2. Formal Tools and Computational Models of Neurons and Neural Nets Architectures: Analytic and logic models. Object oriented formulations. Hybrid knowledge representation and inference tools (rules and frames with analytic slots). Probabilistic, bayesian and fuzzy models. Energy related models. 3. Plasticity Phenomena (Maturing, Learning and Memory): Biological mechanisms of learning and memory. Computational formulations using correlational, reinforcement and minimization strategies. Conditioned reflex and associative mechanisms. Inductive-deductive and abductive symbolic-subsymbolic formulations. Generalization. 4. Complex Systems Dynamics: Self-organization, cooperative processes, autopoiesis, emergent computation, synergetic, evolutive optimization and genetic algorithms. Self-reproducing nets. Self-organizing feature maps. Simulated evolution. Social organization phenomena. 5. Cognitive Science and AI: Hybrid knowledge based system. Neural networks for knowledge modeling, acquisition and refinement. Natural language understanding. Concepts formation. Spatial and temporal planning and scheduling. Intentionality. 6. Neural Nets Simulation, Emulation and Implementation: Environments and languages. Parallelization, modularity and autonomy. New hardware implementation strategies (FPGA's, VLSI, neurodevices). Evolutive architectures. Real systems validation and evaluation. 7. Methodology for Data Analysis, Task Selection and Nets Design. 8. Neural Networks for Perception: Biologically inspired preprocessing. Low level processing, source separation, sensor fusion, segmentation, feature extraction, adaptive filtering, noise reduction, texture, stereo correspondence, motion analysis, speech recognition, artificial vision, and hybrid architectures for multisensorial perception. 9. Neural Networks for Communications Systems: Modems and codecs, network management, digital communications. 10. Neural Networks for Control and Robotics: Systems identification, motion planning and control, adaptive, predictive and model-based control systems, navigation, real time applications, visuo-motor coordination. LOCATION BEATRIZ Costa Teguise Hotel Costa Teguise Lanzarote - Canary Islands, June 4-6, 1997 Lanzarote, the most northerly and easterly island of the Canarian archipelago, is at the same time the most unusual one and produces a strange fascination on those who visit it because the fast succession of fire, sea and colors contrasts with craters, green valleys and unforgettable golden and warm beaches. LANGUAGE English will be the official language of IWANN'97. Simultaneous translation will not be provided. INVITED SPEAKERS Prof. Marvin Minsky - Neuronal and Symbolic Perspectives of AI MIT (USA) Prof. Reinhard Eckhorn - Models of Visual Processing Philips University (D) Prof. Valentino Braitenberg - Sensory-Motor Integration Institute for Biological Cybernetics (D) Dr. Javier De Felipe - Microcircuits in the Brain Instituto Cajal. CSIC (E) Dr. Paolo Ienne - Digital Architectures in Neurocomputers EPFL (CH) CALL FOR PAPERS The Programme Committee seeks for original papers on the above mentioned topics. Authors should pay special attention to explanation of theoretical and technical choices involved, point out possible limitations and describe the current state of their work. All received papers will be reviewed by the Programme Committee. Accepted papers may be presented orally or as poster panels, however all accepted contributions will be published in full length (LNCS Springer-Verlag Series). INSTRUCTIONS TO AUTHORS Five copies (one original and four copies) of the paper must be submitted. The paper must not exceed 10 pages, including figures, tables and references. It should be written in English on A4 paper, in a Times font, 10 point in size, without page numbers (please, indicate the order by numbering the reverse side of the sheets with a pencil) . The printing area should be 12.2 x 19.3 cm. The text should be justified to occupy the full line width, and using one-line spacing. Headings (12 point, bold) should be capitalized and aligned to the left. Title (14 point, bold) should be centered. Abstract and affiliation (9 point) must be also included. If possible, please make use of the latex/plaintex style file available in the WWW page: http://petrus.upc.es/iwann97.html, where you can get more detailed instructions to the authors. In addition, one sheet must be attached including: Title and authors names, list of five keywords, the Topic the paper fits best, preferred presentation (oral or poster) and the corresponding author (name, postal and e-mail addresses, phone and fax numbers). CONTRIBUTIONS MUST BE SENT TO: Prof. Jose Mira Dpto. Inteligencia Artificial, UNED Senda del Rey, s/n E - 28040 MADRID, Spain E-mail: iwann97@dia.uned.es Phone: + 34 1 3987155 Fax: + 34 1 3986697 IMPORTANT DATES Final Date for Submission: January 15, 1997 Notification of Acceptance: March 1997 Work-Conference: June 4-6, 1997 INSCRIPTION, TRAVEL AND HOTEL INFORMATION ULTRAMAR EXPRESS Diputacio, 238, 3 E-08007 BARCELONA, Spain Phone: +34 3 4827140 Fax: +34 3 4827158 E-mail: gcasanova@uex.es IBERIA and AVIACO will be the official carriers for IWANN'97, offering special rates and conditions. International code for special rate: BT71B21MPE0038.(See WWW page for special forfaits rates) POSSIBILITY OF GRANTS The Organization Committee of IWANN'97 will provide a limited number of full or partial grants. Please contact the WWW address for further information. STEERING COMMITTEE Joan Cabestany , Universidad Politecnica de Catalunya (E) Jose Mira Mira, UNED (E) Alberto Prieto, Universidad de Granada (E) Francisco Sandoval, Universidad de Malaga (E) ORGANIZATION COMMITTEE Joan Cabestany and Francisco Sandoval (E), Co-chairmen Michael Arbib, University of Southern California (USA) Senen Barro, Universidad de Santiago (E) Gabriel de Blasio, Univ. de Las Palmas de Gran Canaria (E) Trevor Clarkson, King's College London (UK) Ana Delgado, UNED (E) Dante Del Corso, Politecnico de Torino (I) Belen Esteban-Sanchez, ITC (E) Tamas D. Gedeon, University of New South Wales (AUS) Karl Goser, Universitt Dortmund (G) Jeanny Herault, Institute National Polytechnique de Grenoble (F) Jaap Hoekstra, Delft University of Technology (NL) Shunsuke Sato, Osaka University (Jp) Igor Shevelev, Russian Academy of Science(R) Juan Sigenza. IIC (E) Cloe Taddei-Ferretti, Istituto di Cibernetica, CNR (I) Marley Vellasco, Pontificia Universidade Catolica do Rio de Janeiro (Br) Michel Verleysen, Universite Catholique de Louvain-la-Neuve (B) PROGRAMME COMMITTEE Jose Mira and Alberto Prieto, Co-chairmen (E) Igor Aleksander, Imperial Coll. of Science Technology and Medicine (UK) Jose Ramon Alvarez, UNED (E) Shun-Ichi Amari, University of Tokyo (Jp) Xavier Arreguit, CSEM (CH) Franois Blayo, Univ. Paris 1 (F) Leon Chua, University of California (USA) Marie Cottrell, Univ. Paris 1 (F) Akira Date, Tokyo University of Agriculture and Technology (Jp) Antonio Diaz-Estrella, Universidad de Malaga (E) M. Duranton, Phillips (F) Reinhard Eckhorn, Philips University (D) Kunihiko Fukushima, Osaka University (Jp) Patrik Garda, Univ. Pierre et Marie Curie (F) Anne Guerin-Dugue, INPG (F) Martin Hasler, EPFL (CH) Mohamad H . Hassoun, Wayne State University (USA) Gonzalo Joya, Universidad de Malaga (E) Simon Jones, IERI Loughborough Univ. of Tech. (UK) Christian Jutten, INPG (F) H. Klar, Technische Universitt Berlin (G) K.Nicholas Leibovic, Univ. Buffalo (USA) J.Lettvin, MIT (USA) Francisco Javier Lopez Aligue, Universidad de Extremadura (E) Jordi Madrenas, UPC (E) Pierre Marchal, CSEM (CH) Juan Manuel Moreno, UPC (E) Josef A. Nossek, Der Technischen Universitt Mnchen (G) Julio Ortega, Universidad de Granada (E) Francisco Jose Pelayo, Universidad de Granada (E) Franz Pichler, Johannes Kepler Universitt Linz (A) Vicenzo Piuri, Politecnico di Milano (I) Leonardo Reyneri, Politecnico di Torino (I) Tamas Roska, Hungarian Academy of Sciences (H) E. Sanchez-Sinencio, Texas A&M Univ. (USA) J. Simoes Da Fonseca, Faculty of Medicine of Lisbon (P) John G. Taylor, King's College London (UK) Carme Torras, Instituto de Cibernetica del CSIC-UPC (E) Philip Treleaven, University College London (UK) Elena Valderrama, Centro Nacional de Microelectronica (E) From dwang@cis.ohio-state.edu Tue Oct 22 16:50:32 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 QAA18020 for ; Tue, 22 Oct 1996 16:50:25 -0500 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 QAA15202 for ; Tue, 22 Oct 1996 16:50:22 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26340; 21 Oct 96 14:36:46 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26338; 21 Oct 96 14:25:31 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13536; 21 Oct 96 14:24:56 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa29874; 21 Oct 96 11:35:37 EDT Received: from mail.cis.ohio-state.edu by RI.CMU.EDU id aa08517; 21 Oct 96 11:35:00 EDT Received: from sarajevo.cis.ohio-state.edu (sarajevo.cis.ohio-state.edu [164.107.136.9]) by mail.cis.ohio-state.edu (8.6.7/8.6.4) with ESMTP id LAA11557 for ; Mon, 21 Oct 1996 11:25:33 -0400 From: DeLiang Wang Received: (dwang@localhost) by sarajevo.cis.ohio-state.edu (8.6.7/8.6.4) id LAA15163 for connectionists@cs.cmu.edu; Mon, 21 Oct 1996 11:25:32 -0400 Date: Mon, 21 Oct 1996 11:25:32 -0400 Message-Id: <199610211525.LAA15163@sarajevo.cis.ohio-state.edu> To: connectionists@cs.cmu.edu Subject: Tech report on Double Vowel Segregation A new technical report is available by FTP: MODELLING THE PERCEPTUAL SEGREGATION OF DOUBLE VOWELS WITH A NETWORK OF NEURAL OSCILLATORS Guy J. Brown (1) and DeLiang Wang (2) (1) Department of Computer Science, University of Sheffield, 211 Portobello Street, Sheffield S8 0ET, UK Email: guy@dcs.shef.ac.uk (2) Laboratory for AI Research, Department of Computer Science and Information Science and Center for Cognitive Science, The Ohio State University, Columbus, OH 43210-1277, USA Email: dwang@cis.ohio-state.edu ABSTRACT The ability of listeners to identify two simultaneously presented vowels can be improved by introducing a difference in fundamental frequency (F0) between the vowels. We propose an explanation for this phenomenon in the form of a computational model of concurrent sound segregation, which is motivated by neurophysiological evidence of oscillatory firing activity in the auditory cortex and thalamus. More specifically, the model represents the perceptual grouping of auditory frequency channels as synchronised (phase-locked with zero phase lag) oscillations in a neural network. Computer simulations on a vowel set used in psychophysical studies confirm that the model qualitatively matches the performance of human listeners; vowel identification performance increases with increasing difference in F0. Additionally, the model is able to replicate other findings relating to the perception of harmonic complexes in which one component is mistuned. OBTAINING THE REPORT BY FTP The report is available by anonymous FTP from the site ftp.dcs.shef.ac.uk (enter the word "anonymous" when you are asked for a login name). Then enter: cd /share/spandh/pubs/brown followed by get bw-report96.ps.Z The file is 2.9 MB of compressed postscript. If you have trouble downloading or viewing the file, or if you would like a paper copy to be sent to you, please email Guy Brown (guy@dcs.shef.ac.uk) From pazzani@super-pan.ICS.UCI.EDU Wed Oct 23 00:04:28 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 AAA23626 for ; Wed, 23 Oct 1996 00:04:22 -0500 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 AAA20985; Wed, 23 Oct 1996 00:04:19 -0500 Received: from super-pan.ics.uci.edu by paris.ics.uci.edu id aa20008; 22 Oct 96 20:45 PDT To: ML-LIST:; Subject: Machine Learning List: Vol. 8, No. 17 Reply-to: ml@ics.uci.edu Date: Tue, 22 Oct 1996 20:19:36 -0700 From: Michael Pazzani Message-ID: <9610222045.aa20008@paris.ics.uci.edu> Machine Learning List: Vol. 8, No. 17 Tuesday, October 21, 1996 Contents: New Release of SGI MLC++ reminder: early registration deadline for NIPS*96 Statistical Tests for Comparing Supervised Classification Learning Algorithms Graduate Fellowships at UCI MLJ Table of Contents CFP: 14th International Conference on Machine Learning Call for Workshop Proposals AMARI: WCNN Announcement IDA-97 Call for Papers 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: Ronny Kohavi Date: Sat, 12 Oct 1996 11:05:15 -0700 Subject: New Release of SGI MLC++ SGI MLC++ 2.0 is now available on our web page http://www.sgi.com/Technology/mlc/ MLC++, the machine learning library in C++, is available both in source code and in object code for Silicon Graphics (IRIX 5.3 or 6.2). Because of the substantial effort that went into it at SGI, new releases of MLC++ are restricted for research use. MineSet 1.1, SGI's data mining and visualization product now uses MLC++ as the basis for data mining, as part of a fully integrated mining and visualization environment. What's new in this release (for a longer version see our web pages): - The distribution is compiled in FAST mode, which is about 30% faster. - The utilities distribution is given using dynamically shared objects that save space. - Persistent categorizers are now supported. Persistent decision trees and Naive-Bayes are implemented. This allows a categorizer to be saved and later read in. - Decision trees were improved as follows: - Decision trees now provide pruning in a way similar to C4.5. The MC4 inducer defaults to a setting very similar to C4.5's setting. - Gain ratio is supported as a splitting criterion. This is implemented exactly as the C4.5 version (with all the hacks), so that except for unknown handling and tie breakers, the unpruned trees are the same. - Improved output for MineSet(TM) Tree Visualizer. - Naive-Bayes changes: - Naive-Bayes now supports Laplace corrections. - Naive-Bayes now outputs MineSet(TM) Evidence Visualizer format files. - The biasVar utility has been added for the bias-variance decomposition based on Kohavi & Wolpert ICML-96 paper. - NBTree described in Kohavi, KDD-96 is available. - Unlabelled instance lists are partially supported. The syntax is to say ``nolabel'' in the names file. -- Ronny Kohavi (ronnyk@sgi.com, http://robotics.stanford.edu/~ronnyk) ------------------------------ From: Sue Becker Date: Fri, 18 Oct 1996 15:47:18 -0400 (EDT) Subject: reminder: early registration deadline for NIPS*96 the deadline for room reservations. Note that there is a price reduction for registrations received by October 31. Early registration for the workshops is strongly encouraged, as attendance may be limited. Early room reservations are also strongly encouraged. Rooms will be held for NIPS only until November 18. Further information can be obtained from the NIPS web page: http://www.cs.cmu.edu/Web/Groups/NIPS Sue Becker Publicity Chair, NIPS*96 ------------------------------ From: Tom Dietterich Date: Thu, 17 Oct 96 08:52:50 PDT Subject: Statistical Tests for Comparing Supervised Classification Learning Algorithms The following paper is available from Statistical Tests for Comparing Supervised Classification Learning Algorithms Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis, OR 97331 Abstract: This paper reviews five statistical tests for determining whether one learning algorithm out-performs another on a particular learning task. These tests are compared experimentally to determine their probability of incorrectly detecting a difference when no difference exists (Type I error). Two widely-used statistical tests are shown to have high probability of Type I error in certain situations and should never be used. These tests are (a) a test for the difference of two proportions and (b) a paired-differences $t$ test based on taking several random train/test splits. A third test, a paired-differences $t$ test based on 10-fold cross-validation, exhibits somewhat elevated probability of Type I error. A fourth test, McNemar's test, is shown to have low Type I error. The fifth test is a new test, 5x2cv, based on 5 iterations of 2-fold cross-validation. Experiments show that this test also has good Type I error. The paper also measures the power (ability to detect algorithm differences when they do exist) of these tests. The 5x2cv test is shown to be slightly more powerful than McNemar's test. The choice of the best test is determined by the computational cost of running the learning algorithm. For algorithms that can be executed only once, McNemar's test is the only test with acceptable Type I error. For algorithms that can be executed ten times, the 5x2cv test is recommended, because it is slightly more powerful and because it directly measures variation due to the choice of training set. Thomas G. Dietterich Voice: 541-737-5559 Department of Computer Science FAX: 541-737-3014 Dearborn Hall, 303 URL: http://www.cs.orst.edu/~tgd Oregon State University Corvallis, OR 97331-3102 ------------------------------ Date: Sun, 20 Oct 1996 11:48:00 -0700 From: Michael Pazzani Subject: Graduate Fellowships at UCI The Information and Computer Science Department at UCI has received a GAANN grant from the Department of Education that can award 10 fellowships to incoming students (US residents). The AI faculty at UCI are: Rina Dechter- Automated Reasoning, Constraint Networks, Bayesian Networks Rick Granger- Neural Networks, Computational Neuroscience Dennis Kibler- Machine Learning, Instance Based Learning, Prototype Learning Rick Lathrop- Intelligent Systems in Molecular Biology, Machine Learning Michael Pazzani- Machine Learning, Knowledge-intensive methods, Cognition Padhraic Smyth- Probabilistic Methods for Machine Learning, KDD The AI faculty have research funds from NSF, ARPA, ONR, and AFOSR as well as joint projects with industry to support graduate students as research assistants. Application material, including an online application, can be found on the WWW at http://www.ics.uci.edu/~gcounsel/applicantfaq.html or by sending e-mail: theresa@ics.uci.edu Phone: (714) 824-2277 There are a variety of other fellowship opportunities available from the university. ============================================================================== Michael Pazzani, Chair phone (714) 824-5888 Department of Information and Computer Science fax (714) 824-4056 University of California e-mail pazzani@ics.uci.edu Irvine, CA 92717-3425 http://www.ics.uci.edu/~pazzani ------------------------------ From: "Jeffrey C. Schlimmer" Date: Fri, 18 Oct 1996 11:18:18 -0700 Subject: MLJ Table of Contents Table of Contents Vol. 25, No. 1 (October 1996) Exploration Bonuses and Dual Control, Peter Dayan and Terrence J. Sejnowski, Page 5. Using the Minimum Description Length Principle to Infer Reduced Ordered Decision Graphs, Arlindo L. Oliveira and Alberto Sangiovanni-Vincentelli, Page 23. PAC Learning of One-Dimensional Patterns, Paul W. Goldberg, Sally A. Goldman and Stephen D. Scott, Page 51. On-line Prediction and Conversion Strategies, Nicolo Cesa-Bianchi, Yoav Freund, David P. Helmbold and Manfred K. Warmuth, Page 71. -- Dr. Jeffrey C. Schlimmer, Asst. Prof., School of EE & CS, Washington State University, Pullman, WA 99164-2752, (509) 335-2399, (509) 335-3818 FAX http://www.eecs.wsu.edu/~schlimme/ PGP key: ftp://ftp.eecs.wsu.edu/pub/pgp/schlimmer.hqx, .txt powerPen Faculty Advisor, powerPen@eecs.wsu.edu http://www.eecs.wsu.edu/~schlimme/newton/index.shtml ftp://ftp.eecs.wsu.edu/pub/newton/ ------------------------------ From: "Douglas H. Fisher" Date: Mon, 14 Oct 96 15:36:05 CDT Subject: CFP: 14th International Conference on Machine Learning Preliminary Call for Papers THE FOURTEENTH INTERNATIONAL CONFERENCE ON MACHINE LEARNING July 8-12, 1997 Nashville, Tennessee, USA The Fourteenth International Conference on Machine Learning (ICML-97) will be held at Vanderbilt University in Nashville, Tennessee from July 8 to July 12, 1997. ICML-97 is co-located with the Tenth Annual Conference on Computational Learning Theory (COLT-97), and the organizers anticipate fruitful interactions between the two communities. The ICML-97 program proper includes a half day of tutorials on July 8 (organized in conjunction with COLT-97), a technical program that runs from July 9 through July 11, and a day of workshops on July 12. Submissions are invited that describe empirical, theoretical, and cognitive modeling research in all areas of machine learning. In addition, papers from related disciplines (e.g., information retrieval, statistics, pattern recognition) that deal with adaptive intelligence, (semi-)automated knowledge acquisition, or (semi-)automated knowledge organization are welcome. Submissions that describe the application of machine learning methods to real-world problems are encouraged, but such submissions should speak to general issues of machine learning, perhaps illustrating novel learning methods or demonstrating the utility of established methods in previously unexplored settings. Authors must submit 4 hardcopies of their submissions, as well as a copy of their title page via electronic mail. The mailing addresses for hardcopies are: **Regular Mail** **Express Mail** Doug Fisher/ICML-97 Doug Fisher/ICML-97 Department of Computer Science Department of Computer Science Box 1679, Station B 1500 21st Ave. South Vanderbilt University Room 433, Village at Vanderbilt Nashville, TN 37235 USA Nashville, TN 37212 USA 615-322-2796 (Express mail forms) Submissions must arrive by **January 22, 1997.** Acceptance decisions will be mailed by **March 24, 1997.** Camera-ready copies will be due by **April 18, 1997.** A copy of the title page should be sent via electronic mail to icml97@vuse.vanderbilt.edu by **January 20, 1997** (note the date). The title page should accompany each hardcopy submission, in addition to being sent through electronic mail. The title page, both the electronic and hardcopy versions, should be formatted as follows: Title: Author(s) with address(es): Abstract (200 word maximum): Keywords: Email address of contact author: Phone number of contact author: Multiple submission statement (if applicable): The title page should be detachable from the main body of the paper. The main body should include the paper's title and abstract, but not the authors, keywords, or contact information. The main body (excluding detachable title page, but including everything else such as title, abstract, figures, tables, and references) of a submission must not exceed **16** pages formatted as follows: 12 point font, single-spaced (Baselineskip = 0.1875 inches or 0.4763 cm), a maximum per-page text width of 5.5 inches (14.00 cm), and a maximum per-page text height of 7.5in (19 cm). If the Chair believes that a submission exceeds 660 square inches or 4258 square centimeters (under 12pt, single space assumptions), then the submission will be rejected without review, and an explanation will be provided to the author(s). Submissions with text on both sides of each page are encouraged. For complete submission requirements, as well as information on registration, housing, workshops, and tutorials, see http://cswww.vuse.vanderbilt.edu/~mlccolt/icml97/index.html or send email to icml97@vuse.vanderbilt.edu. ------------------------------ From: gordon@aic.nrl.navy.mil Date: Wed, 16 Oct 96 11:21:17 EDT Subject: Call for Workshop Proposals CALL FOR WORKSHOP PROPOSALS Fourteenth International Conference on Machine Learning July 12, 1997 Full and half day workshops will be held on Saturday, July 12, 1997 following the technical program of the Fourteenth International Conference on Machine Learning (ICML-97). Workshop proposals are invited in all areas of machine learning. Workshop attendees will be required to register for the main ICML-97 conference. There will be an additional fee for workshop attendance. Proposals for workshops should be a maximum of three (3) pages in length, and should contain: o A workshop title. o A technical description of the workshop and its objectives. o An explanation of why the workshop is currently of interest to the machine learning community. o A description of the workshop format, including invited speakers, panels, and discussion sessions. Please include the length of time planned for the workshop and a proposed schedule. o A description of the review and paper selection process that will be followed. o The names, postal and email addresses, and phone numbers of the workshop organizers, plus identification of the chair and/or key workshop contact. o A proposed limit, if any, on workshop attendance. o A list of researchers and/or research groups that work in the area and might be interested in attending the proposed workshop (this list need not be included in the 3 page limit). Please send workshop proposals and related inquiries, preferably by electronic mail in plain ASCII text, to: Diana Gordon Workshop Chair EMAIL: gordon@aic.nrl.navy.mil Naval Research Laboratory, Code 5514 4555 Overlook Avenue, S.W. Washington, D.C. 20375-5337 USA Proposals should be sent as soon as possible, but must be received by December 4, 1996. Notification of acceptance or rejection will be mailed to the organizer by January 6, 1997. Descriptions of accepted workshops will be made available via the World-Wide Web (see address below). Organizers of accepted workshops will be responsible for preparing and distributing a Call for Papers and Participation for their workshops. The ICML-97 Workshops Chair requires a copy of each accepted Workshop CFP by January 20, 1997 for display on the ICML-97 WWW site. The selection of papers, participants, and other workshop organizational matters such as the assembly of camera-ready copy of the Workshop proceedings are the responsibility of the Workshop organizers. ICML-97 will be responsible for local arrangements (i.e., rooms, equipment), collection of workshop registration fees, and printing and delivery of the workshop proceedings. ICML-97 will reimburse Workshop organizers for reasonable and limited costs (e.g., postage for submitting camera-ready proceedings, copying). TIMETABLE SUMMARY Submission of workshop proposals: December 4, 1996 Notification of acceptance or rejection: January 6, 1997 Accepted workshop CFPs due: January 20, 1997 Camera-ready proceedings due: May 28, 1997 (tentative) Workshops: July 12, 1997 More detailed information on the workshops and ICML-97 may be found at the ICML-97 Web site: http://cswww.vuse.vanderbilt.edu/~mlccolt/icml97/index.html ------------------------------ From: Mary Lou Padgett Date: Sun, 20 Oct 1996 12:18:12 -0400 Subject: AMARI: WCNN Announcement PRESIDENTIAL ANNOUNCEMENT OF ACTION TAKEN BY INNS BOARD OF GOVERNORS AT WCNN'96 IN SAN DIEGO, SEPTEMBER 17, 1996: In the last few years, many members of INNS have expressed dissatisfactin with the existence of two major, competing neural network meetings in North America. A number of months ago, IEEE and INNS began informal discussions about the possibility of reinstituting cooperation. This week, we had further contacts with IEEE, and the INNS Board Members have made a strong decision to proceed to reinstitute the tradition of joint meetings, perhaps as early as 1997. There are certain details which need to be worked out, and decisioins which need to be approved. In the spirit of cooperation, the INNS Board has elected to replace the planned 1997 INNS meetng in Boston by supporting the meeting in Houston next June, let this time by IEEE, by offering a strong INNS technical involvement. WE REMIND YOU THE PAPER SUBMISSION DEADLINE FOR THE HOUSTON MEETING IS SET AT NOVEMBER 1 (NOV. 15 FOR INNS MEMBERS ONLY). We trust that we will later be able to follow a pattern of alternating the lead roles, as we did with IJCNNs in the past. We urge all of you to plan to join with us in Houston, to help support this effort to reunite the neural network community. SHUN-ICHI AMARI Note: See the new web page for the JOINT MEETING for 1997. http://www.mindspring.com/~pci-inc/ICNN97 Send papers to Dan Levine, Co-Program Chair. Mary Lou Padgett 1165 Owens Road Auburn, AL 36830 P: (334) 821-2472 F: (334) 821-3488 m.padgett@ieee.org Auburn University, EE Dept. Padgett Computer Innovations, Inc. (PCI) Simulation, VI, Seminars IEEE Standards Board -- Virtual Intelligence ( VI): NN, FZ, EC, VR ------------------------------ From: Michael Berthold Date: Mon, 21 Oct 1996 10:39:43 +0200 Subject: IDA-97 Call for Papers CALL FOR PAPERS The Second International Symposium on Intelligent Data Analysis (IDA-97) Birkbeck College, University of London 4th-6th August 1997 In Cooperation with AAAI, ACM SIGART, BCS SGES, IEEE SMC, and SSAISB [ http://web.dcs.bbk.ac.uk/ida97.html ] Objective ========= For many years the intersection of computing and data analysis contained menu-based statistics packages and not much else. Recently, statisticians have embraced computing, computer scientists are using statistical theories and methods, and researchers in all corners are inventing algorithms to find structure in vast online datasets. Data analysts now have access to tools for exploratory data analysis, decision tree induction, causal induction, function finding, constructing customised reference distributions, and visualisation. There are prototype intelligent assistants to advise on matters of design and analysis. There are tools for traditional, relatively small samples and for enormous datasets. The focus of IDA-97 will be "Reasoning About Data". We are interested in intelligent systems that reason about how to analyze data, perhaps as human analysts do. Analysts often bring exogenous knowledge about data to bear when they decide how to analyze it; they use intermediate results to decide how to proceed; they reason about how much analysis the data will actually support; they consider which methods will be most informative; they decide which aspects of a model are most uncertain and focus attention there; they sometimes have the luxury of collecting more data, and plan to do so efficiently. In short, there is a strategic aspect to data analysis, beyond the tactical choice of this or that test, visualisation or variable. Topics ====== The following topics are of particular interest to IDA-97: * APPLICATIONS & TOOLS - analysis of different kinds of data (e.g., censored, temporal etc) - applications (e.g., commerce, engineering, finance, legal, manufacturing, medicine, public policy, science) - assistants, intelligent agents for data analysis - evaluation of IDA systems - human-computer interaction in IDA - IDA systems and tools - information extraction, information retrieval * THEORY & GENERAL PRINCIPLES - analysis of IDA algorithms - bias - classification - clustering - data cleaning - data pre-processing - experiment design - model specification, selection, estimation - reasoning under uncertainty - search - statistical strategy - uncertainty and noise in data * ALGORITHMS & TECHNIQUES - Bayesian inference and influence diagrams - bootstrap and randomization - causal modeling - data mining - decision analysis - exploratory data analysis - fuzzy, neural and evolutionary approaches - knowledge-based analysis - machine learning - statistical pattern recognition - visualization Submissions =========== Participants who wish to present a paper are requested to submit a manu- script, not exceeding 10 single-spaced pages. We strongly encourage that the manuscript is formatted following the Springer's "Advice to Authors for the Preparation of Contributions to LNCS Proceedings" which can be found on the IDA-97 web page. This submission format is identical to the one for the final camera-ready copy of accepted papers. In addition, we request a separate page detailing the paper title, authors' names, postal and email addresses, phone and fax numbers. Email submissions in Postscript form are encouraged. Otherwise, five hard copies of the manuscripts should be submitted. Submissions should be sent to the IDA-97 Program Chairs: Central, North and South America: Elsewhere: Paul Cohen Xiaohui Liu Department of Computer Science Department of Computer Science Lederle Graduate Research Center Birkbeck College University of Massachusetts, Amherst University of London Amherst, MA 01003-4610 Malet Street USA London WC1E 7HX, UK cohen@cs.umass.edu hui@dcs.bbk.ac.uk IMPORTANT DATES February 1st, 1997 Submission of papers April 15th, 1997 Notification of acceptance May 15th, 1997 Final camera ready paper Review ====== All submissions will be reviewed on the basis of relevance, originality, significance, soundness and clarity. At least two referees will review each submission independently. Results of the review will be send to the first author via email, unless requested otherwise. Publications ============ Papers which are accepted and presented at the conference will appear in the IDA-97 proceedings, to be published by Springer-Verlag in its Lecture Notes in Computer Science series. Authors of the best papers will be invited to extend their papers for further review for a special issue of "Intelligent Data Analysis: An International Journal". IDA-97 Organisation =================== General Chair: Xiaohui Liu Program Chairs: Paul Cohen, Xiaohui Liu Steering Comm. Chair: Paul Cohen, University of Massachusetts, USA Exhibition Chair: Richard Weber, MIT GmbH, Aachen, Germany Finance Chair: Sylvie Jami, Birkbeck College, UK Local Arrangements Chair: Trevor Fenner, Birkbeck College, UK Public. and Proc. Chair: Michael Berthold, University of Karlsruhe, Germany Sponsorship Chair: Mihaela Ulieru, Simon Fraser University, Canada Steering Committee Michael Berthold University of Karlsruhe, Germany Fazel Famili National Research Council, Canada Doug Fisher Vanderbilt University, USA Alex Gammerman Royal Holloway London, UK David Hand Open University, UK Wenling Hsu AT&T Consumer Lab, USA Xiaohui Liu Birkbeck College, UK Daryl Pregibon AT&T Research, USA Evangelos Simoudis IBM Almaden Research, USA Program Committee Eric Backer Delft University of Technology, The Netherlands Riccardo Bellazzi University of Pavia, Italy Michael Berthold University of Karlsruhe, Germany Carla Brodley Purdue University, USA Gongxian Cheng Birkbeck College, UK Fazel Famili National Research Council, Canada Julian Faraway University of Michigan, USA Thomas Feuring WWU Muenster, Germany Alex Gammerman Royal Holloway London, UK David Hand The Open University, UK Rainer Holve Forwiss Erlangen, Germany Wenling Hsu AT&T Research, USA Larry Hunter National Library of Medicine, USA David Jensen University of Massachusetts, USA Frank Klawonn University of Braunschweig, Germany David Lubinsky University of Witwatersrand, South Africa Ramon Lopez de Mantaras Artificial Intelligence Research Institute, Spain Sylvia Miksch Stanford University, USA Rob Milne Intelligent Applications Ltd, UK Gholamreza Nakhaeizadeh Daimler-Benz Forschung und Technik, Germany Claire Nedellec Universite Paris-Sud, France Erkki Oja Helsinki University of Technology, Finland Henri Prade University Paul Sabatier, France Daryl Pregibon AT&T Research, USA Peter Ross University of Edinburgh, UK Steven Roth Carnegie Mellon University, USA Lorenza Saitta University of Torino, Italy Peter Selfridge AT&T Research, USA Rosaria Silipo University of Florence, Italy Evangelos Simoudis IBM Almaden Research, USA Derek Sleeman University of Aberdeen, UK Paul Snow Delphi, USA Rob St. Amant North Carolina State University, USA Lionel Tarassenko Oxford University, UK John Taylor King's College London, UK Loren Terveen AT&T Research, USA Hans-Juergen Zimmermann RWTH Aachen, Germany Enquiries ========= Detailed information regarding IDA-97 can be found on the World Wide Web Server of the Department of Computer Science at Birkbeck College, London: http://web.dcs.bbk.ac.uk/ida97.html Apart from presentation of research papers, IDA-97 also welcomes demonstr- ations of software and publications related to intelligent data analysis and welcomes those organisations who may wish to partly sponsor the confe- rence. Relevant enquiries may be sent to appropriate chairs whose details can be found in the above-mentioned IDA-97 web page, or to IDA-97 Administrator Department of Computer Science Birkbeck College Malet Street London WC1E 7HX, UK E-mail: ida97-enquiry@dcs.bbk.ac.uk Tel: (+44) 171 631 6722 Fax: (+44) 171 631 6727 There is also a moderated IDA-97 discussion list. To subscribe, send the word "subscribe" in the message body to: ida97-request@dcs.bbk.ac.uk ------------------------------ End of ML-LIST (Digest format) **************************************** From dsilver@csd.uwo.ca Wed Oct 23 08:34:21 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 IAA01081 for ; Wed, 23 Oct 1996 08:34:16 -0500 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 IAA24892 for ; Wed, 23 Oct 1996 08:34:14 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa28308; 22 Oct 96 17:49:58 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa28306; 22 Oct 96 17:36:42 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa15088; 22 Oct 96 17:35:09 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa02359; 22 Oct 96 16:01:32 EDT Received: from chaplin.csd.uwo.ca by EDRC.CMU.EDU id aa25365; 22 Oct 96 16:00:56 EDT From: "Danny L. Silver" Message-Id: <9610221959.AA05229@church.ai.csd.uwo.ca.csd.uwo.ca> Subject: Preprint on Inductive Transfer in ANNs available To: Connectionists@cs.cmu.edu Date: Tue, 22 Oct 1996 15:59:40 -0400 (EDT) Cc: neuron-request@CATTELL.psych.upenn.edu, cogpsy@cogsci.soton.ac.uk, ml@ics.uci.edu X-Mailer: ELM [version 2.4 PL24] Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Length: 1815 A preprint of the article: "Parallel Transfer of Task Knowledge Using Dynamic Learning Rates Based on a Measure of Relatedness" can be found at: http://www.csd.uwo.ca/~dsilver/CSetaMTL.ps.Z The article has been accepted for publication in the Connection Science special issue on "Transfer in Inductive Systems" due out this fall. ABSTRACT With a distinction made between two forms of task knowledge transfer, {\em representational} and {\em functional}, $\eta$MTL, a modified version of the MTL method of functional (parallel) transfer, is introduced. The $\eta$MTL method employs a separate learning rate, $\eta_k$, for each task output node $k$. $\eta_k$ varies as a function of a measure of relatedness, $R_k$, between the $k$th task and the primary task of interest. Results of experiments demonstrate the ability of $\eta$MTL to dynamically select the most related source task(s) for the functional transfer of prior domain knowledge. The $\eta$MTL method of learning is nearly equivalent to standard MTL when all parallel tasks are sufficiently related to the primary task, and is similar to single task learning when none of the parallel tasks are related to the primary task. If you have any difficulties with transmission or wish to receive the article by another means please contact me as below. .. Danny -- ========================================================================= = Daniel L. Silver University of Western Ontario, London, Canada = = N6A 3K7 - Dept. of Comp. Sci. = = dsilver@csd.uwo.ca H: (902)582-7558 O: (902)494-1813 = = WWW home page .... http://www.csd.uwo.ca/~dsilver = ========================================================================= From halici@rorqual.cc.metu.edu.tr Wed Oct 23 11:50:47 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 LAA07012 for ; Wed, 23 Oct 1996 11:50:40 -0500 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 LAA28731 for ; Wed, 23 Oct 1996 11:50:37 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa29450; 23 Oct 96 10:10:10 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29448; 23 Oct 96 9:58:45 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa15765; 23 Oct 96 9:57:56 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa14013; 23 Oct 96 3:04:05 EDT Received: from rorqual.cc.metu.edu.tr by CS.CMU.EDU id aa21528; 23 Oct 96 3:03:30 EDT Received: from localhost by rorqual.cc.metu.edu.tr (AIX 4.1/UCB 5.64/4.03 METU-HOST) id AA99862; Wed, 23 Oct 1996 10:00:40 +0400 Date: Wed, 23 Oct 1996 10:00:40 +0400 (MEDT) From: ugur halici To: connectionists@cs.cmu.edu Subject: Special Session on Pattern Recog.,Image Processing & Computer , Vision Message-Id: Mime-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII ******************************************************** Call for Summaries and Participation SPECIAL SESSION on --------------------------------------------------------- PATTERN RECOGNITION, IMAGE PROCESSING and COMPUTER VISION --------------------------------------------------------- 2nd International Conference on COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE Sheraton Imperial Hotel & Convention Center, Research Triangle Park, North Carolina/March 2-5, 1997 ********************************************************* A special session on Pattern Recognition, Image Processing and Computer Vision is to be organized within the 2nd International Conference on Computational Intelligence and Neuroscience. Papers are sought on neural network applications or biologically inspired approaches related to pattern recognition, image processing and computer vision. Prospective authors are requested to contact the session organizer Ugur Halici, Dept. of Electrical Engineering Middle East Technical University, Ankara, 06531, Turkey fax: (+90) 312 210 12 61 email: halici@rorqual.cc.metu.edu.tr by email or fax as soon as possible in order to show their interest and receive information on the paper format. Papers will be accepted based on summaries, which must be received before November 30, 1996 for this session. ICCIN is part of the Third Joint Conference Information Sciences(JCIS), Sheraton Imperial Hotel & Convention Center, Research Triangle Park, North Carolina/March 2-5, 1997 ICCIN Conference Chairs: -------------------------- Subhash C. Kak, Louisiana State University Jeffrey P. Sutton, Harvard University JCIS Honorary Chairs: ------------------------- Lotfi A. Zadeh & Azriel Rosenfeld Plenary Speakers: ---------------- James S. Albus / Jim Anderson / Roger Brockett / Earl Dowell / David E. Goldberg / Stephen Grossberg / Y. C. Ho / John H. Holland / Zdzislaw Pawlak / Lotfi A. Zadeh ICCIN Web site: http://www.csci.csusb.edu/iccin From andreas@informatik.uni-bremen.de Thu Oct 24 11:18:02 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 LAA25256 for ; Thu, 24 Oct 1996 11:17:52 -0500 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 LAA15822 for ; Thu, 24 Oct 1996 11:17:49 -0500 Received: from (parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id UAA05113; Thu, 24 Oct 1996 20:11:39 +0800 Message-Id: <199610241211.UAA05113@cs.uwa.oz.au> From: Andreas Buehlmeier To: grk@bettina.informatik.uni-bremen.de, LearningRobots@kimo.informatik.uni-dortmund.de, reinforce@cs.uwa.edu.au, connectionists@cs.cmu.edu Subject: CFP: AISB 95 workshop (Manchester UK) Date: Wed, 23 Oct 1996 17:55:43 +0200 ============================================================================ CALL FOR PAPERS SPATIAL REASONING IN MOBILE ROBOTS AND ANIMALS A WORKSHOP ON ROBOT NAVIGATION AISB-97 Workshop, Manchester University, 8th - 9th April 1997 ---------------------------------------------------------------------------- WORKSHOP ORGANISERS Ulrich Nehmzow (Manchester University) and Noel Sharkey (Sheffield University) PROGRAM COMMITTEE Minoru Asada, Osaka University, Japan Randall Beer, Case Western Reserve University, USA David Bissett, University of Kent, UK Andreas Buehlmeier, University of Bremen, Germany Tom Collett, University of Sussex, UK Marco Dorigo, Free University of Brussels, Belgium John Hallam, Edinburgh University, UK Gillian Hayes, Edinburgh University, UK Bernd Krieg-Brueckner, University of Bremen, Germany Stephen Lea, University of Exeter, UK David Lee, Oxford University, UK Tony Prescott, University of Sheffield, UK Michael Recce, University College London, UK Jun Tani, Sony, Japan Ruediger Wehner, University of Zurich, Switzerland Uwe Zimmer, GMD, Germany ---------------------------------------------------------------------------- PURPOSE OF THE WORKSHOP Scientific interest in autonomous mobile robotics has been growing rapidly in recent years, as demonstrated, not least, by the steadily growing number of publications, workshops and conferences. One major reason for this growth (apart from the enormous potential for industrial applications of autonomous mobile robots) is that mobile robots are an important means of investigating and developing theories of animal behaviour, because they provide a physical instantiation of theories, an existence proof. For mobile agents, both animals and robots, the ability to localise, orientate and plan paths or, in short, the ability to navigate, is of utmost importance. A navigational capability requires not only reactive behaviour, but the ability to interpret sensory information with respect to global goals, intelligent interaction with the environment (e.g. active sensing), and recovery from error. Navigation is therefore an ideal testcase for investigating theories of intelligent behaviour. A dialogue between ethology and engineering has already developed within the scientific community. The purpose of this workshop is to deepen this exchange. It is the organizers' intention to bring together scientists from the broad areas of biology and mobile robotics and to facilitate the necessary cross fertilization to advance the field of robot navigation. WORKSHOP CONTRIBUTIONS Contributions are invited from all areas relevant to spatial reasoning and navigation, both in animals and robots. These areas include: * Mapbuilding and mapinterpretation * Localisation (e.g. by landmarks, dead reckoning, global navigation systems, etc.) * Landmark identification (e.g. through pattern recognition) * Dynamic sensing and prediction * Spatial reasoning in navigation * Exploration strategies * Path planning * Robot learning and adaptive systems applications to navigation * Route learning and route following * Recovery from error in navigation, robust navigation systems * Hardware issues (e.g. sensors) * Artificial neural network applications to navigation Contributions describing experimental work are particularly encouraged. All contributions will be refereed by the program committee, and the proceedings of the workshop will be published in the refereed Technical Report Series of the Department of Computer Science at the University of Manchester (ISSN 1361-6153). Reprints of the proceedings will be made available at the workshop. The workshop will consist of presentations of 25 minutes, followed by extensive discussion of the material. These discussions, together with panel sessions, will provide a forum to facilitate scientific exchange across disciplines. Robotics demonstrations will be available at the Mobile Robotics Laboratory at Manchester University, and participants can also arrange demonstrations - assistance will be provided. SUBMISSIONS Contributions should initially be submitted in the form of extended abstracts of up to 4 pages A4, single spaced. Submissions (3 copies) of extended abstracts (up to 4 pages) describing original, unpublished work should be sent to Noel Sharkey Department of Computer Science University of Sheffield Sheffield S1 4DP Authors of accepted papers will be asked to submit a full version of their paper (8-10 pages) in electronic format, as specified on the web site given below. Authors of accepted papers will be given a report number so that their paper can be published in the Technical Report Series of the Department of Computer Science , Manchester University (ISSN 1361-6161). A LaTeX template for submissions to the Technical Report Series can be found on the web address given below. DEADLINES * 20.11.96 Deadline for submission of extended abstracts * 17.1.97 Notification of acceptance * 28.2.1997 Deadline for final submissions ---------------------------------------------------------------------------- http://www.cs.man.ac.uk/robotics/aisb.html From freeman@systems.caltech.edu Thu Oct 24 11:24:14 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 LAA25348 for ; Thu, 24 Oct 1996 11:23:37 -0500 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 LAA15925 for ; Thu, 24 Oct 1996 11:23:32 -0500 Received: from (parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id UAA04961; Thu, 24 Oct 1996 20:07:43 +0800 Message-Id: <199610241207.UAA04961@cs.uwa.oz.au> From: Robert Freeman Sender: freeman@systems.caltech.edu To: freeman@caltech.edu Cc: connectionists@cs.cmu.edu, ml@ics.uci.edu, Reinforce@cs.uwa.edu.au, gann-list@cs.iastate.edu, corryfee%hasara11.BITNET@hamlet.caltech.edu, owner-csemlist@mundo.eco.utexas.edu, nonlin-l@list.nih.gov, comp-finance@teleport.com, Vision-List@teleos.com, comp-neuro@smaug.bbb.caltech.edu, colt@cs.uiuc.edu, kdd@gte.com, comp-speech@cs.utexas.edu, tanns@cs.unc.edu, alife@cognet.ucla.edu, spp@umiacs.umd.edu, DAI-List@ece.sc.edu, dbworld@cs.wisc.edu, TIERRA@life.slhs.udel.edu, cEGA-List@aic.nrl.navy.mil, inductive@unb.ca, ai-stats@watstat.uwaterloo.ca, evolutionary-computing@mailbase.ac.uk, cogpsy@neuro.psy.soton.ac.uk, echos@dmi.ens.fr, genetic@dcs.shef.ac.uk, intcon@phoenix.ee.unsw.edu.au, P-LIST@magenta.me.fau.edu, cogni-info@univ-lyon1.fr, neuropl@plearn.edu.pl, philos-l@liverpool.ac.uk, neur-sci@dl.ac.uk, enns-list@dcs.kcl.ac.uk, cells@tce.ing.uniroma1.it Subject: CONFERENCE: Neural Nets in the Capital Markets 11/20 - 11/22 [connectionists] Date: Mon, 21 Oct 1996 22:30:13 -0700 ******************************************************************************* --- F I N A L C A L L --- ******************************************************************************* 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 http://cs.caltech.edu/~learn/nncm Neural networks have been applied to a number of live systems in the capital markets, and in many cases have demonstrated better performance than competing approaches. Because of the increasing interest in the NNCM conferences held in the U.K. and the U.S., the fourth annual NNCM will be held on November 20-22, 1996, in Pasadena, California. This is a research meeting where original and significant contributions to the field are presented. A day of tutorials (Wednesday, November 20) is included to familiarize audiences of different backgrounds with some of the key financial and mathematical aspects of the field. Invited Speakers: The conference will feature invited talks by three internationally recognized researchers: Dr. Rob Engle, UC San Diego Dr. Andrew Lo, MIT Sloan School Dr. Paul Refenes, London Business School Contributed Papers: NNCM-96 will have 4 oral sessions and 2 poster sessions with more than 40 contributed papers presented by academicians and practitioners from all six continents, both from the neural networks side and the capital markets side. Each paper has been refereed by 3 experts in the field. The areas of the accepted papers include price forecasting for stocks, bonds, commodities, and foreign exchange; asset allocation and risk management; volatility analysis and pricing of derivatives; cointegration, correlation, and multivariate data analysis; credit assessment and economic forecasting; statistical methods, learning techniques, and hybrid systems. Tutorials: Before the main program, there will be a day of tutorials on Wednesday, November 20, 1996. Three two-hour tutorials will be presented as follows: Statistical Models of Financial Volatility Dr. Rob Engle, University of California, San Diego Universal Portfolios and Information Theory Dr. Tom Cover, Stanford University Data-Snooping and Other Selection Biases in Financial Econometrics Dr. Andrew Lo, MIT Sloan School We are very pleased to have tutors of such caliber help bring new audiences from different backgrounds up to speed in this cross-disciplinary area. Schedule Outline: Wednesday, November 20: 9:00- 5:30 Tutorials 1, 2, 3 Thursday, November 21: 8:30-11:30 Oral Session I 11:30- 2:00 Luncheon & Poster Session I 2:00- 5:00 Oral Session II Friday, November 22: 8:30-11:30 Oral Session III 11:30- 2:00 Luncheon & Poster Session II 2:00- 5:00 Oral Session IV Organizing Committee: Dr. Y. Abu-Mostafa, Caltech (Chairman) Dr. A. Atiya, Cairo University Dr. N. Biggs, London School of Economics Dr. D. Bunn, London Business School Dr. M. Jabri, Sydney University Dr. B. LeBaron, University of Wisconsin Dr. A. Lo, MIT Sloan School Dr. I. Matsuba, Chiba University Dr. J. Moody, Oregon Graduate Institute Dr. C. Pedreira, Catholic Univ. PUC-Rio Dr. A. Refenes, London Business School Dr. M. Steiner, Universitaet Augsburg Dr. A. Timmermann, UC San Diego Dr. A. Weigend, University of Colorado Dr. H. White, UC San Diego Dr. L. Xu, Chinese University of Hong Kong Location: The conference will be held at the Ritz-Carlton Huntington Hotel in Pasadena, within two miles from the Caltech campus. One of the most beautiful hotels in the U.S., the Ritz is a 35-minute drive from Los Angeles International Airport (LAX) with nonstop flights from most major cities in North America, Europe, the Far East, Australia, and South America. Home of Caltech, Pasadena has recently become a major dining/hangout center for Southern California with the growth of its `Old Town', built along the styles of the 1950's. Among the cultural attractions of Pasadena are the Norton Simon Museum, the Huntington Library/Gallery/Gardens, and a number of theaters including the Ambassador Theater. Hotel Reservation: Please contact the Ritz-Carlton Huntington Hotel in Pasadena directly. The phone number is (818) 568-3900 and the fax number is (818) 568-1842. Ask for the NNCM-96 rate. We have negotiated an (incredible) rate of $79+taxes ($110 with $31 credited by NNCM-96 upon registration) per room (single or double occupancy) per night. Please make the hotel reservation IMMEDIATELY as the rate is based on availability. Registration: Registration is done by mail on a first-come, first-served basis. To ensure your place at the conference, please send the following registration form and payment as soon as possible to Ms. Lucinda Acosta, Caltech 136-93, Pasadena, CA 91125, U.S.A. Please make check payable to Caltech. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - NNCM-96 Registration Form Title:------ Name:------------------------------------------------ Mailing address:------------------------------------------------ ------------------------------------------------ ------------------------------------------------ ------------------------------------------------ e-mail:--------------------------------- fax:--------------------------------- ********Please circle the applicable fees and write the total below******** Main Conference (November 21-22): Registration fee $550 Discounted fee for academicians $275 (letter on university letterhead required) Discounted fee for full-time students $150 (letter from registrar or faculty advisor required) Tutorials (November 20): You must be registered for the main conference in order to register for the tutorials. Tutorials Fee $150 Full-time students $100 (letter from registrar or faculty advisor required) TOTAL: $_________ Please include payment (check or money order in US currency). Please make check payable to Caltech. Mail your completed registration form and payment to Ms. Lucinda Acosta, Caltech 136-93, Pasadena, CA 91125, U.S.A. - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - Transportation: There is shuttle service (around $25 per person) and bus service (around $15 per person) from Los Angeles International Airport (LAX) to the Ritz-Carlton Hotel in Pasadena. A taxi ride will cost approximately $55. There is also shuttle service from Burbank airport (BUR) which is a domestic airport closer to Pasadena. A taxi ride will cost approximately $35. Secretariat: For further information, please contact the NNCM-96 secretariat: Ms. Lucinda Acosta, Caltech 136-93, Pasadena, CA 91125, U.S.A. e-mail: lucinda@sunoptics.caltech.edu phone (818) 395-4843, fax (818) 795-0326 ******************************************************************************* From Dimitris.Dracopoulos@ens-lyon.fr Thu Oct 24 12:00:50 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 MAA25906 for ; Thu, 24 Oct 1996 12:00:43 -0500 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 MAA16662 for ; Thu, 24 Oct 1996 12:00:40 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa00825; 24 Oct 96 10:55:46 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa00822; 24 Oct 96 10:33:14 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa16870; 24 Oct 96 10:32:26 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa11548; 24 Oct 96 8:22:58 EDT Received: from cri.ens-lyon.fr by EDRC.CMU.EDU id aa06329; 24 Oct 96 8:22:17 EDT Received: from lip.ens-lyon.fr (lip [140.77.11.11]) by cri.ens-lyon.fr (8.8.2/8.8.0) with ESMTP id OAA24798; Thu, 24 Oct 1996 14:21:40 +0200 (MET DST) 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 OAA01556; Thu, 24 Oct 1996 14:21:23 +0200 (MET DST) From: Dimitris Dracopoulos Received: (from ddracopo@localhost) by banyuls.ens-lyon.fr (8.8.2/8.8.0) id OAA03160; Thu, 24 Oct 1996 14:21:19 +0200 (MET DST) Date: Thu, 24 Oct 1996 14:21:19 +0200 (MET DST) Message-Id: <199610241221.OAA03160@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, tous.lip@ens-lyon.fr, cs-academic@brunel.ac.uk, GA-List@AIC.NRL.NAVY.MIL Subject: CFP: Neural and Evolutionary Algorithms for Intelligent Control Cc: Dimitris.Dracopoulos@ens-lyon.fr X-Sun-Charset: US-ASCII NEURAL AND EVOLUTIONARY ALGORITHMS FOR INTELLIGENT CONTROL ---------------------------------------------------------- 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) Scope: ----- The focus of the session will concentrate 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). 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 giles@research.nj.nec.com Thu Oct 24 19:49:09 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 TAA04084 for ; Thu, 24 Oct 1996 19:49:04 -0500 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 TAA24618 for ; Thu, 24 Oct 1996 19:49:01 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa01318; 24 Oct 96 19:23:13 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa01316; 24 Oct 96 19:12:47 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa17241; 24 Oct 96 19:11:57 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa19198; 24 Oct 96 15:09:24 EDT Received: from zingo.nj.nec.com by RI.CMU.EDU id aa00423; 24 Oct 96 15:08:37 EDT Received: from alta (alta [138.15.159.81]) by zingo.nj.nec.com (8.7.4/8.7.3) with SMTP id PAA13253 for ; Thu, 24 Oct 1996 15:08:24 -0400 (EDT) Received: by alta (5.52/cliff's joyful mailer #2) id AA06199(alta); Thu, 24 Oct 96 15:06:47 EDT Date: Thu, 24 Oct 96 15:06:47 EDT From: Lee Giles Message-Id: <9610241906.AA06199@alta> To: connectionists@cs.cmu.edu Subject: Technical Report Available Cc: giles@research.nj.nec.com The following technical report presents the experimental results of three on-line learning solutions in predicting multiprocessor memory access patterns. __________________________________________________________________________ PERFORMANCE OF ON-LINE LEARNING METHODS IN PREDICTING MULTIPROCESSOR MEMORY ACCESS PATTERNS Majd F. Sakr (1,2), Steven P. Levitan (2), Donald M. Chiarulli (3), Bill G. Horne (1), C. Lee Giles (1,4) (1) NEC Research Institute, 4 Independence Way, Princeton NJ 08540 (2) University of Pittsburgh, Electrical Engineering, Pittsburgh PA 15261 (3) University of Pittsburgh, Computer Science, Pittsburgh PA 15260 (4) UMIACS, University of Maryland, College Park, MD 20742 Abstract: Shared memory multiprocessors require reconfigurable interconnection networks (INs) for scalability. These INs are reconfigured by an IN control unit. However, these INs are often plagued by undesirable reconfiguration time that is primarily due to control latency, the amount of time delay that the control unit takes to decide on a desired new IN configuration. To reduce control latency, a trainable prediction unit (PU) was devised and added to the IN controller. The PU's job is to anticipate and reduce control configuration time, the major component of the control latency. Three different on-line prediction techniques were tested to learn and predict repetitive memory access patterns for three typical parallel processing applications, the 2-D relaxation algorithm, matrix multiply and Fast Fourier Transform. The predictions were then used by a routing control algorithm to reduce control latency by configuring the IN to provide needed memory access paths before they were requested. Three prediction techniques were used and tested: 1). a Markov predictor, 2). a linear predictor and 3). a time delay neural network (TDNN) predictor. As expected, different predictors performed best on different applications, however, the TDNN produced the best overall results. Keywords: On-line Prediction; Learning; Multiprocessors; Memory; Markov Predictor; Linear Predictor; Time Delay Neural Network ____________________________________________________________________________ The paper is available from: http://www.neci.nj.nec.com/homepages/giles.html http://www.neci.nj.nec.com/homepages/sakr.html http://www.cs.umd.edu/TRs/TR-no-abs.html Comments are very welcome. -- C. Lee Giles / Computer Sciences / NEC Research Institute / 4 Independence Way / Princeton, NJ 08540, USA / 609-951-2642 / Fax 2482 www.neci.nj.nec.com/homepages/giles.html == From dyyeung@cs.ust.hk Fri Oct 25 12:42:06 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 MAA19134 for ; Fri, 25 Oct 1996 12:41:53 -0500 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 MAA06132 for ; Fri, 25 Oct 1996 12:41:50 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa02368; 25 Oct 96 9:49:43 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa02366; 25 Oct 96 9:37:12 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa17895; 25 Oct 96 9:36:28 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa02012; 25 Oct 96 3:09:14 EDT Received: from cssu46.cs.ust.hk by EDRC.CMU.EDU id aa12226; 25 Oct 96 3:08:16 EDT Received: from cssu35.cs.ust.hk (dyyeung@cssu35.cs.ust.hk [143.89.40.35]) by cssu46.cs.ust.hk (8.7.6/8.6.9) with ESMTP id PAA16457; Fri, 25 Oct 1996 15:06:23 +0800 (HKT) From: Dit-Yan Yeung Received: (from dyyeung@localhost) by cssu35.cs.ust.hk (8.7.6/8.7.3) id PAA07352; Fri, 25 Oct 1996 15:06:20 +0800 (HKT) Message-Id: <199610250706.PAA07352@cssu35.cs.ust.hk> Subject: Theoretical Aspects of Neural Computation (TANC-97) To: connectionists@cs.cmu.edu, cneuro@bbb.caltech.edu, neuron@CATTELL.psych.upenn.edu, ml@ics.uci.edu, reinforce@cs.uwa.edu.au, intcon@phoenix.ee.unsw.EDU.AU Date: Fri, 25 Oct 1996 15:06:20 +0800 (HKT) Cc: Dit-Yan Yeung X-Mailer: ELM [version 2.4 PL25] MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit 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. From A.Sharkey@dcs.shef.ac.uk Fri Oct 25 13:25:06 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 NAA20225 for ; Fri, 25 Oct 1996 13:24:58 -0500 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 NAA06918 for ; Fri, 25 Oct 1996 13:24:56 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab02368; 25 Oct 96 9:51:38 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab02366; 25 Oct 96 9:37:14 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa17900; 25 Oct 96 9:37:02 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa04687; 25 Oct 96 6:16:34 EDT Received: from gw.dcs.shef.ac.uk by CS.CMU.EDU id aa12966; 25 Oct 96 6:16:23 EDT Received: from jung.dcs.shef.ac.uk by gw.dcs.shef.ac.uk (4.1/DCS2.0) id AA01370; Fri, 25 Oct 96 11:15:25 BST Date: Fri, 25 Oct 96 11:15:25 BST From: Amanda Sharkey Message-Id: <9610251015.AA01370@gw.dcs.shef.ac.uk> To: connectionists@cs.cmu.edu Subject: Research Associate Post: Neural Net Fault Diagnosis Research Associate: On-line Neural Net Fault Diagnosis for Diesel Engines. A Post Doctoral research fellow is required for a period of up to 3 years to join the Neural Computing Group in the Department of Computer Science, University of Sheffield, UK. This EPSRC-funded post is available from November 1st 1996, or as soon as possible thereafter. Salary in the range 14,317-16,628 pounds (UK). This project will involve the collection of fault diagnosis data from a diesel engine, using measures of in-cylinder pressure, engine vibration and noise emission. These data will be used to train a neural net system for fault diagnosis, and will form the basis for the development of a general set of principles for increasing the reliability of a neural net system. The postholder will be required to induce a variety of faults in a real diesel engine (assisted by a technician also employed for the project), to collect data corresponding to those faults using a variety of sensors, and to train neural nets to perform fault diagnosis. Knowledge and practical experience of real diesel engines is essential, as are computational skills. Familiarity with neural computing techniques would be preferred. Further details are available: http://www.dcs.shef.ac.uk/research/groups/nn/engine.html Direct email inquiries and/or CVs to Dr Amanda Sharkey: amanda@dcs.shef.ac.uk From nikola@prosun.first.gmd.de Sat Oct 26 02:11:01 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 CAA29117 for ; Sat, 26 Oct 1996 02:10:53 -0500 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 CAA14892 for ; Sat, 26 Oct 1996 02:10:51 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa00244; 25 Oct 96 20:07:26 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa00265; 25 Oct 96 17:37:23 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa18135; 25 Oct 96 17:36:47 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id ab08824; 25 Oct 96 10:56:19 EDT Received: from prosun.first.gmd.de by EDRC.CMU.EDU id aa13168; 25 Oct 96 8:55:11 EDT Received: from ludak.first.gmd.de by prosun.first.gmd.de (4.1/SMI-4.1) id AA16045; Fri, 25 Oct 96 09:44:40 +0100 Date: Fri, 25 Oct 96 09:44:40 +0100 From: Nikola Serbedzija Message-Id: <9610250844.AA16045@prosun.first.gmd.de> To: connectionists@cs.cmu.edu Subject: CFP: IMACS - ANN Simulation session ------------------------------------------------------------------------- 15th IMACS WORLD CONGRESS on Scientific Computation, Modelling and Applied Mathematics Berlin, Germany, 24-29 August 1997 ------------------------------------------------------------------------- CALL FOR PAPERS for the Organized Session on Simulation of Artificial Neural Networks Session Organizers: Gerd Kock and Nikola Serbedzija ------------------------------------------------------------------------- The aim of this session is to reflect the current techniques and trends in the simulation of artificial neural networks (ANNs). Both, software and hardware approaches are solicited. Topics of interest are, but not limited to: * General Aspects of Neural Simualations o design issues for simulation tools o inherent parallelism of ANNS o general-purpose neural simulations o special-purpose neural simulations o fault tolerance aspects * Parallel Implementation of ANNs o data parallel implementations o control parallel implementations * Hardware Emulation of ANNs o silicon technology o optical technology o molecular technology * General Simulation Tools o graphic/menu bases tools o module libraries o specific programming languages * Applications o applications using/demanding parallel o implementations or hardware emulations o applications using/demanding analysis tools or graphical representations provided by simulation tools * Hybrid Systems o the topics from above are of interest also with respect to related hybrid systems (neuro-fuzzy, genetic algorithms) Authors interested in this session are invited to submit 3 copies of an extended summary (about 4 pages) of the paper to one of the session organizers by December 1st. 1996. Submission can be done also by email. The notification of acceptance/rejection will be mailed by February 28th, 1997. The authors of accepted papers will also receive detailed instructions for the final manuscripts preparation. The submission must contain the following information: The name(s) of the author(s), title(s), affiliation(s), complete address(es) (including email, phone, fax). In addition, the author responsible for communication has to be indicated. Important dates --------------- December 1st, 1996 Extended summary due February 28th, 1997 Notification of acceptance/rejection April 30th, 1997 Camera-ready paper due Addresses to send contribution ------------------------------ Dr. Gerd Kock Dr. Nikola Serbedzija GMD FIRST GMD FIRST Rudower Chaussee 5 Rudower Chaussee 5 D-12489 Berlin D-12489 Berlin Germany Germany e-mail: gerd@first.gmd.de e-mail: nikola@first.gmd.de tel: +49 30 / 6392 1863 tel: +49 30 / 6392 1873 =================================================================== IMACS The International Association for Mathematics and Computers in Simulation is an organization of professionals and scientists concerned with computers, computation and applied mathematics, in particular, as they apply to the simulation of systems. This includes numerical analysis, mathematical modelling, approximation theory, computer hardware and software, programming languages and compilers. IMACS also concerns itself with the general philosophy of scientific computation and applied mathematics, and with their impact on society and on disciplinary and interdisciplinary research. IMACS is one of the international scientific associations (with IFAC, IFORS, IFIP and IMEKO) represented in FIACC, the five international organizations in the area of computers, automation, instrumentation and the relevant branches of applied mathematics. Of the five, IMACS (which changed its name from AICA in 1976) is the oldest and was founded in 1956. For more information about the 15th IMACS WORLD CONGRESS turn to WWW page http://www.first.gmd.de/imacs97/ ================================================================ From dwang@cis.ohio-state.edu Sat Oct 26 02:11:02 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 CAA29119 for ; Sat, 26 Oct 1996 02:10:55 -0500 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 CAA14894 for ; Sat, 26 Oct 1996 02:10:53 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab00244; 25 Oct 96 20:08:01 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab00265; 25 Oct 96 17:37:26 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa18140; 25 Oct 96 17:37:11 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa13404; 25 Oct 96 14:21:37 EDT Received: from mail.cis.ohio-state.edu by RI.CMU.EDU id aa06886; 25 Oct 96 14:21:01 EDT Received: from sarajevo.cis.ohio-state.edu (sarajevo.cis.ohio-state.edu [164.107.136.9]) by mail.cis.ohio-state.edu (8.8.0/8.6.4) with ESMTP id OAA02084; Fri, 25 Oct 1996 14:19:56 -0400 (EDT) From: DeLiang Wang Received: (dwang@localhost) by sarajevo.cis.ohio-state.edu (8.8.0/8.6.4) id OAA01392; Fri, 25 Oct 1996 14:19:56 -0400 (EDT) Date: Fri, 25 Oct 1996 14:19:56 -0400 (EDT) Message-Id: <199610251819.OAA01392@sarajevo.cis.ohio-state.edu> To: connectionists@cs.cmu.edu Subject: Neurocomputing, Vol.13 (2-4) Cc: Y.CAMPFENS@elsevier.nl NEUROCOMPUTING [NEUCOM] Volume 13, Issue 2-4 (30 SEPTEMBER 1996) Adaptable neuro production systems N.K. Kasabov On the stability of Lagrange programming neural networks for satisfiability problems of propositional calculus M. Nagamatu, T. Yanaru Generalized Hopfield networks for associative memories with multi-valued stable states J.M. Zurada, I. Cloete, E. van der Poel A neurocomputing framework: From methodologies to application S.-B. Cho A systematic method for rational definition of plant diagnostic symptoms by self-organizing neural networks H. Furukawa, T. Ueda, M. Kitamura Neural network indirect adaptive control with fast learning algorithm G.J. Jeon, I. Lee Efficient learning of NN-MLP based on individual evolutionary algorithm Q. Zhao, T. Higuchi Application of neural network algorithm to CAD of magnetic systems Y. Yamazaki, M. Ochiai, A. Holz, T. Hara Controlling public address systems based on fuzzy inference and neural network K. Kurisu, K. Fukuyama Robust world-modelling and navigation in a real world U.R. Zimmer Practical applications of neural networks in texture analysis E. Biebelmann, M. K\"{o}ppen, B. Nickolay Chaotic recurrent neural networks and their application to speech recognition J.K. Ryeu, H.S. Chung On the accuracy of mapping by neural networks trained by backpropagation with forgetting R. Kozma, M. Sakuma, Y. Yokoyama, M. Kitamura Optimal learning in artificial neural networks: A review of theoretical results M. Bianchini, M. Gori Classification by balanced binary representation Y. Baram Fuzzy astronomical seeing nowcasts with a dynamical and recurrent connectionist network A. Aussem, F. Murtagh, M. Sarazin Improved binary classification performance using an information theoretic criterion P. Burrascano, D. Pirollo