From dario@lamisun9.epfl.ch Thu May 1 00:51:39 1997 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 AAA26824 for ; Thu, 1 May 1997 00:51:31 -0500 Received: from cs.uwa.oz.au (bilby.cs.uwa.oz.au [130.95.1.11]) by lucy.cs.wisc.edu (8.7.6/8.7.3) with SMTP id AAA03866 for ; Thu, 1 May 1997 00:51:28 -0500 (CDT) Received: from (parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id MAA20423; Thu, 1 May 1997 12:48:19 +0800 Message-Id: <199705010448.MAA20423@cs.uwa.oz.au> From: dario@lamisun9.epfl.ch (Dario Floreano) To: reinforce@cs.uwa.edu.au Subject: CFP: Special Session on Adaptive Autonomous Agents Date: Wed, 30 Apr 1997 22:17:49 +0200 ********************************************* Special Session on ADAPTIVE AUTONOMOUS AGENTS ********************************************* http://diwww.epfl.ch/lami/team/floreano/AAA.html at ICANN'97 7th International Conference on Artificial Neural Networks http://diwww.epfl.ch/lami/icann97 7-10 October 1997, Lausanne, Switzerland Session chair: Dario Floreano CALL FOR PAPERS Deadline: 15 May 1997 Adaptive Autonomous Agents are artificial systems that display several characteristics of biological intelligent organisms. They autonomously interact with a physical world and adaptively modify their own behaviour in order to keep themselves alive and/or to carry out some task in partially unknown and unpredictable environments. Research in Adaptive Autonomous Agents is at the cross-roads of several disciplines, such as biology, engineering, cognitive science, neurophysiology, computing science, and ethology. The ecological properties of embodiment and situatedness that characterise Adaptive Autonomous Agents make them an ideal tool to investigate principles of adaptive behaviour and provide a strong testbed for validating computational models of biological mechanisms. At the same time, they give rise to a new generation of autonomous robots that display robust and adaptive behaviour in real environments with minimal human intervention. This special session intends to present an overview of most recent progress in adaptive autonomous systems, especially focusing on systems that make use of neuron-like computation and/or rely on de-centralised and local control in order to generate adaptive behaviours in real environments. Presentations given by top-ranking scientists will range from theoretical foundations to implementation on autonomous mobile robots and will feature video and live demonstrations. The aim of this special session is that of presenting an up-to-date overview of this stimulating field of research and at the same time providing a forum for exchange of ideas among researchers. Papers describing novel results in the field of Adaptive Autonomus Agents should arrive to the ICANN'97 secretariat by 15 May 1997. Although there is a maximum length of 6 pages, 4-page papers are strongly encouraged. Please mark on the header of the first page "Special Session on Adaptive Autonomous Agents". Accepted papers will be selected for oral or poster presentation based on originality, technical soundness, and clarity of presentation. (All accepted papers will appear in the proceedings by Springer Verlag.) For paper format, submission address, registration, student discounts, and other useful informations, please check the ICANN97 web page (http://diwww.epfl.ch/lami/icann97). Together with oral presentations, the special session will also feature poster spotlights. Authors of best posters will be allocated a 5-minute oral presentation to briefly describe their work and attract people to their own poster area. Topics of the special session include (but are not limited to): - Learning robots - Evolutionary robotics - Co-evolutionary systems - Reinforcement Learning Agents - Hybrid robots - Bio-inspired control - Adaptive Behavior - Neurocontrollers for sensory-motor agents - Complex navigation - Goal-directed behavior - Artificial Life Further informations available on the web page http://diwww.epfl.ch/lami/team/floreano/AAA.html From lfausett@work2.cc.nps.navy.mil Thu May 1 22:56:02 1997 Received: from cs.wisc.edu (cs.wisc.edu [128.105.2.6]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id WAA06779 for ; Thu, 1 May 1997 22:55:54 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by cs.wisc.edu (8.7.6/8.7.3) with SMTP id WAA19575 for ; Thu, 1 May 1997 22:55:53 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26306; 1 May 97 22:31:27 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26304; 1 May 97 22:12:09 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa08909; 1 May 97 22:11:57 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id ab24917; 1 May 97 18:48:11 EDT Received: from nps.navy.mil by RI.CMU.EDU id aa24977; 1 May 97 18:47:49 EDT Received: from [131.120.147.170] by nps.navy.mil (4.1/SMI-4.1) id AA09817; Thu, 1 May 97 15:45:31 PDT Message-Id: Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Thu, 1 May 1997 14:44:02 -0800 To: connectionists@cs.cmu.edu From: Laurene Fausett Subject: CFP-abstracts due by 5/15 SIAN KA'AN 97 The Second Joint Mexico-US International Workshop on Neural Networks and Neurocontrol August 19-29 1997 Playa del Carmen Quintana Roo Mexico GOAL Sian Ka'an 97, The Second Joint Mexico-US International Workshop on Neural Networks and Neurocontrol will provide an opportunity for academic and industrial researchers of the United States and Mexico, and other participants including graduate students, to exchange ideas and research results with the aim of enhancing the overall research effort, reducing duplication, and encouraging cooperation among the participants. FORMAT Approximately twenty speakers have been selected to present two hour keynote talks describing the state of the art of topics related to the development of the theoretical and applied aspects of neural networks and neurocontrol. Poster sessions of invited and contributed papers will allow for discussion of particular works. A hands-on workshop for students, and other interested participants, will provide some practice and more basic information about the topics addressed in the conference presentations and poster sessions. LOCATION The conference will be held in Playa del Carmen, in the state of Quintana Roo, Mexico. The hotel is a five star luxury facility, with many legendary Mayan ruins in the vicinity of the hotel. The facilities provide a relaxed and informal atmoshpere for the exchange of ideas. A program of cultural, educational, and social events will enhance the understanding, and help to establish solid cooperative efforts, among conference participants. CALL FOR PAPERS The Organizing Committee invites all persons interested in Artificial Neural Networks, Fuzzy Sets, Evolutionary Programming, Control Theory, and Smart Engineering Systems Theory to submit papers for presentation (poster sessions) at the conference. All papers accepted for presentation will be published in the conference proceedings. To ensure a high-quality conference and proceedings, all paper submissions will be reviewed for technical merit and content by three senior researchers in the field. Best Paper Awards will be presented in the areas of "Novel Applications", "Theoretical Development", and "Electronic Implementations". Authors are requested to submit letter of intent, abstract (up to 250 words), and information sheet (full name(s) of author(s), title of paper, phone/fax numbers, e-mail address) Important Dates: Letter of intent: by May 15, 1997. Notice of acceptance of papers will be sent by May 30, 1997. Camera-ready laser manuscripts: by June 30, 1997. Authors should forward the letter of intent, information sheet, and abstract to: Nydia Lara Zavala Laboratorio de Neurocomputacion Centro de Instrumentos Universidad Nacional Autonoma de Mexico Circuito Exterior, Ciudad Universitaria A.P. 70-186 Mexico, 04510, D.F. Phone: (525) 652 5920 Fax: 622 8620 e-mail: nydia@aleph.cinstrum.unam.mx or Laurene Fausett 450 Larkin Street Monterey, CA 93940 Phone: (408) 656-2714 Fax: (408) 656-2355 e-mail:lfausett@nps.navy.mil COST Conference Registration (until June 30) $300 ($350 after June 30) Hotel (per person/per night) including breakfast Single Room $ 60 Double Room $ 40 Triple Room $ 30 Lunch and Dinner are available at the Hotel for approximately $15 each Fellowships will be available for students on a competitive basis. Please request application forms from the organizing Committee Chairs (before May 15). KEYNOTE SPEAKERS (preliminary list, alphabetical order) James Bezdek Donald Fausett Laurene Fausett Benito Fernandez Joydeep Ghosh Robert Hecht-Nielsen John Koza George Lendaris Ken Marko Thomas J. McAvoy Kumpati Narendra Jose Principe Dejan J. Sobajic Eduardo Sontag Jean Jacques E. Slotine Paul Werbos Bernard Widrow Lotfi A. Zadeh SIAN KA'AN 97 SPONSORS National Science Foundation Academia de la Investigacion Cientifica Sociedad Mexicana de Instrumentacion Florida Institute of Technology University of Texas at Austin Consejo Nacional de Ciencia y Tecnologia Universidad Nacional Autonoma de Mexico Universidad de Quintana Roo Gobierno del Estado de Quintana Roo IBM de Mexico, S.A. de C.V. Sun de Mexico Apple Computer de Mexico, S.A. de C.V. HONORARY CONFERENCE CHAIRS Claudio Firmani Clementi Paul Werbos Bernard Widrow Felipe Lara ORGANIZING COMMITTEE CHAIRS Nydia Lara (Mexico) Laurene Fausett (USA) PROGRAM COMMITTEE CHAIR Bernard Widrow Felipe Lara Jose Principe Dejan Sobajic Benito Fernandez WORKSHOP COMMITTEE CHAIR Nydia Lara Laurene Fausett Benito Fernandez George Lendaris Guillermo Morales TOPICS OF INTEREST Architecture - ANN Paradigms - Associative Memories - Hybrid Systems Learning - Gradient-Based Learning - Stochastic Learning - Adaptive Methods - Supervised Learning - Reinforcement Learning Systems Analysis - Time Series - Signal Processing - Systems Modeling - Process Monitoring - Fuzzy Models Control & Design - Optimization - Neurocontrol - Adaptive Control - Learning Control - Fuzzy Control - Intelligent Control From moody@chianti.cse.ogi.edu Fri May 2 04:08:47 1997 Received: from cs.wisc.edu (cs.wisc.edu [128.105.2.6]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id EAA07918 for ; Fri, 2 May 1997 04:08:42 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by cs.wisc.edu (8.7.6/8.7.3) with SMTP id EAA01413 for ; Fri, 2 May 1997 04:08:40 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa26320; 1 May 97 22:39:23 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa26310; 1 May 97 22:13:03 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa08915; 1 May 97 22:12:53 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa25143; 1 May 97 19:15:24 EDT Received: from cse.ogi.edu by EDRC.CMU.EDU id aa06664; 1 May 97 19:14:47 EDT Received: from chianti.cse.ogi.edu by church.cse.ogi.edu with smtp (Smail3.1.29.1 #5) id m0wN53k-0000EzC; Thu, 1 May 97 16:14 PDT Received: by chianti.cse.ogi.edu (NX5.67e/NX3.0S) id AA20039; Thu, 1 May 97 16:14:42 -0700 Message-Id: <9705012314.AA20039@chianti.cse.ogi.edu> Content-Type: text/plain Mime-Version: 1.0 (NeXT Mail 3.3 v118.2) Received: by NeXT.Mailer (1.118.2) From: John Moody Date: Thu, 1 May 97 16:14:41 -0700 To: ml@ics.uci.edu, connectionists@cs.cmu.edu Subject: Research Position in Statistical Learning Algorithms at OGI Cc: moody@chianti.cse.ogi.edu, sherid@chianti.cse.ogi.edu Research Position in Nonparametric Statistics, Neural Networks and Machine Learning at Department of Computer Science & Engineering Oregon Graduate Institute of Science & Technology I am seeking a highly qualified researcher to take a leading role on a project involving the development and testing of new model selection and input variable subset selection algorithms for classification, regression, and time series prediction applications. Candidates should have a PhD in Statistics, EE, CS, or a related field, have experience in neural network modeling, nonparametric statistics or machine learning, have strong C programming skills, and preferably have experience with S-Plus and Matlab. The compensation and level of appointment (Postdoctoral Research Associate or Senior Research Associate) will depend upon experience. The initial appointment will be for one year, but may be extended depending upon the availability of funding. Candidates who can start by July 1, 1997 or before will be given preference, although an extremely qualified candidate who is available by September 1 may also be considered. If you are interested in applying for this position, please mail, fax, or email your CV (ascii text or postscript only), a letter of application, and a list of at least three references (names, addresses, emails, phone numbers) to: Ms. Sheri Dhuyvetter Computer Science & Engineering Oregon Graduate Institute PO Box 91000 Portland, OR 97291-1000 Phone: (503) 690-1476 FAX: (503) 690-1548 Email: sherid@cse.ogi.edu Please do not send applications to me directly. I will consider all applications received by Sheri on or before June 1. OGI (Oregon Graduate Institute of Science and Technology) has over a dozen faculty, senior research staff, and postdocs doing research in Neural Networks, Machine Learning, Signal Processing, Time Series, Control, Speech, Language, Vision, and Computational Finance. Short descriptions of our research interests are appended below. Additional information is available on the Web at http://www.cse.ogi.edu/Neural/ and http://www.cse.ogi.edu/CompFin/ . OGI is a young, but rapidly growing, private research institute located in the Silicon Forest area west of downtown Portland, Oregon. OGI offers Masters and PhD programs in Computer Science and Engineering, Electrical Engineering, Applied Physics, Materials Science and Engineering, Environmental Science and Engineering, Biochemistry, Molecular Biology, Management, and Computational Finance. The Portland area has a high concentration of high tech companies that includes major firms like Intel, Hewlett Packard, Tektronix, Sequent Computer, Mentor Graphics, Wacker Siltronics, and numerous smaller companies like Planar Systems, FLIR Systems, Flight Dynamics, and Adaptive Solutions (an OGI spin-off that manufactures high performance parallel computers for neural network and signal processing applications). John Moody Professor, Computer Science and Electrical Engineering Director, Computational Finance Program +++++++++++++++++++++++++++++++++++++++++++++++++++++++ Oregon Graduate Institute of Science & Technology Department of Computer Science & Engineering Department of Electrical Engineering Research Interests of Faculty, Research Staff, and Postdocs in Neural Networks, Machine Learning, Signal Processing, Control, Speech, Language, Vision, Time Series, and Computational Finance Etienne Barnard (Associate Professor, EE): Etienne Barnard is interested in the theory, design and implementation of pattern-recognition systems, classifiers, and neural networks. He is also interested in adaptive control systems -- specifically, the design of near-optimal controllers for real- world problems such as robotics. Ron Cole (Professor, CSE): Ron Cole is director of the Center for Spoken Language Understanding at OGI. Research in the Center currently focuses on speaker- independent recognition of continuous speech over the telephone and automatic language identification for English and ten other languages. The approach combines knowledge of hearing, speech perception, acoustic phonetics, prosody and linguistics with neural networks to produce systems that work in the real world. Mark Fanty (Research Associate Professor, CSE): Mark Fanty's research interests include continuous speech recognition for the telephone; natural language and dialog for spoken language systems; neural networks for speech recognition; and voice control of computers. Dan Hammerstrom (Associate Professor, CSE): Based on research performed at the Institute, Dan Hammerstrom and several of his students have spun out a company, Adaptive Solutions Inc., which is creating massively parallel computer hardware for the acceleration of neural network and pattern recognition applications. There are close ties between OGI and Adaptive Solutions. Dan is still on the faculty of the Oregon Graduate Institute and continues to study next generation VLSI neurocomputer architectures. Hynek Hermansky (Associate Professor, EE); Hynek Hermansky is interested in speech processing by humans and machines with engineering applications in speech and speaker recognition, speech coding, enhancement, and synthesis. His main research interest is in practical engineering models of human information processing. Todd K. Leen (Associate Professor, CSE): Todd Leen's research spans theory of neural network models, architecture and algorithm design and applications to speech recognition. His theoretical work is currently focused on the foundations of stochastic learning, while his work on Algorithm design is focused on fast algorithms for non-linear data modeling. John Moody (Professor, CSE and EE): John Moody does research on the design and analysis of learning algorithms, statistical learning theory (including generalization and model selection), optimization methods (both deterministic and stochastic), and applications to signal processing, time series, economics, and computational finance. He is the Director of OGI's Computational Finance Program. David Novick (Associate Professor, CSE): David Novick conducts research in interactive systems, including computational models of conversation, technologically mediated communication, and human-computer interaction. A central theme of this research is the role of meta-acts in the control of interaction. Current projects include dialogue models for telephone-based information systems. Misha Pavel (Associate Professor, EE): Misha Pavel does mathematical and neural modeling of adaptive behaviors including visual processing, pattern recognition, visually guided motor control, categorization, and decision making. He is also interested in the application of these models to sensor fusion, visually guided vehicular control, and human-computer interfaces. He is the Director of OGI's Center for Information Technology. Hong Pi (Senior Research Associate, CSE) Hong Pi's research interests include neural network models, time series analysis, and dynamical systems theory. He currently works on the applications of nonlinear modeling and analysis techniques to time series prediction problems and financial market analysis. Pieter Vermeulen (Research Associate Professor, EE): Pieter Vermeulen is interested in the theory, design and implementation of pattern-recognition systems, neural networks and telephone based speech systems. He currently works on the realization of speaker independent, small vocabulary interfaces to the public telephone network. Current projects include voice dialing, a system to collect the year 2000 census information and the rapid prototyping of such systems. He is also a cofounder of Livingston Legend, a company specializing in neural network based intelligent sensors. Eric A. Wan (Assistant Professor, EE): Eric Wan's research interests include learning algorithms and architectures for neural networks and adaptive signal processing. He is particularly interested in neural applications to time series prediction, adaptive control, active noise cancellation, and telecommunications. Lizhong Wu (Senior Research Associate, CSE): Lizhong Wu's research interests include neural network theory and modeling, time series analysis and prediction, pattern classification and recognition, signal processing, vector quantization, source coding and data compression. He is now working on the application of neural networks and nonparametric statistical paradigms to finance. From sml%essex.ac.uk@seralph21.essex.ac.uk Fri May 2 15:49:48 1997 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 PAA11455 for ; Fri, 2 May 1997 15:49:44 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.7.6/8.7.3) with SMTP id PAA08962 for ; Fri, 2 May 1997 15:49:40 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa27551; 2 May 97 12:36:13 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa27549; 2 May 97 12:19:44 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa09557; 2 May 97 12:18:56 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa01836; 2 May 97 4:50:45 EDT Received: from [155.245.12.19] by EDRC.CMU.EDU id aa08916; 2 May 97 4:50:10 EDT Received: from esesparc by seralph21.essex.ac.uk; (5.65v3.2/1.1.8.2/14Feb95-1154AM) id AA30718; Fri, 2 May 1997 09:49:24 +0100 Received: from medano.essex.ac.uk by esesparc.essex.ac.uk; Fri, 2 May 97 09:49:23 BST Message-Id: <3369ABA3.D8A@essex.ac.uk> Date: Fri, 02 May 1997 09:53:55 +0100 From: Simon Lucas Organization: University of Essex X-Mailer: Mozilla 3.0Gold (Win95; I) Mime-Version: 1.0 To: Connectionists%CS.CMU.EDU@seralph21.essex.ac.uk Subject: Rapid best-first retrieval from massive dictionaries (paper available) Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit The following paper has recently been published in Pattern Recognition Letters (vol 17; 1507 - 1512), and may be of interest to people on this list. ------------------------------------------------ Rapid Best-First Retrieval from Massive Dictionaries by Lazy Evaluation of a Syntactic Neural Network S.M. Lucas A new method of searching large dictionaries given uncertain inputs is described, based on the lazy evaluation of a syntactic neural network (SNN). The new method is shown to significantly outperform a conventional trie-based method for large dictionaries (e.g.\ in excess of 100,000 entries). Results are presented for the problem of recognising UK postcodes using dictionary sizes of up to 1 million entries. Most significantly, it is demonstrated that the SNN actually gets {\em faster} as more data is loaded into it. ------------------------------------------------ Sorry, but no electronic version available due to copyright. Paper offprints available on request. Regards, Simon Lucas ------------------------------------------------ Dr. Simon Lucas Department of Electronic Systems Engineering University of Essex Colchester CO4 3SQ United Kingdom Tel: (+44) 1206 872935 Fax: (+44) 1206 872900 Email: sml@essex.ac.uk http://esewww.essex.ac.uk/~sml secretary: Mrs Janet George (+44) 1206 872438 -------------------------------------------------