From marco@idsia.ch Mon Apr 15 07:47:09 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 HAA29527 for ; Mon, 15 Apr 1996 07:47:03 -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 HAA16412 for ; Mon, 15 Apr 1996 07:47:01 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa05859; 15 Apr 96 4:03:24 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05857; 15 Apr 96 3:42:19 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa11370; 15 Apr 96 3:41:23 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa06005; 15 Apr 96 3:40:15 EDT Received: from [192.132.252.1] by CS.CMU.EDU id aa22163; 15 Apr 96 3:39:28 EDT Received: from zucca.idsia.ch by fava.idsia.ch (4.1/SMI-4.1) id AA07623; Mon, 15 Apr 96 09:39:15 +0200 Date: Mon, 15 Apr 96 09:39:15 +0200 From: Marco Wiering Message-Id: <9604150739.AA07623@fava.idsia.ch> To: connectionists@cs.cmu.edu Subject: Levin Search and EIRA FTP-host: ftp.idsia.ch FTP-file: /pub/marco/ml_levin_eira.ps.gz or /pub/juergen/ml_levin_eira.ps.gz Solving POMDPs with Levin Search and EIRA Marco Wiering Juergen Schmidhuber Machine Learning: 13th Intern. Conf., 1996 9 pages, 86K compressed, 252K uncompressed Partially observable Markov decision problems (POMDPs) recently received a lot of attention in the reinforcement learning community. No attention, however, has been paid to Levin's universal search through program space (LS), which is theoretically optimal for a wide variety of search prob- lems including many POMDPs. Experiments in this paper show that LS can solve partially observable mazes (`POMs') involving many more states and obstacles than those solved by various previous authors. We then note, however, that LS is not necessarily optimal for learning problems where experience with previous problems can be used to speed up the search. For this reason, we introduce an adaptive extension of LS (ALS) which uses experience to increase probabilities of instructions occurring in successful programs found by LS. To deal with cases where ALS does not lead to long-term performance improvement, we use the recent technique ``environment-independent reinforcement acceleration'' (EIRA) as a safe- ty belt (EIRA currently is the only known method that guarantees a life- long history of reward accelerations). Additional experiments demon- strate: (a) ALS can dramatically reduce search time consumed by calls of LS. (b) Further significant speed-ups can be obtained by combining ALS and EIRA. To obtain a copy, do one of these: netscape http://www.idsia.ch/~marco/publications.html netscape http://www.idsia.ch/~juergen/onlinepub.html Marco Wiering Juergen Schmidhuber IDSIA From marco@idsia.ch Mon Apr 15 08:08:35 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 IAA29707 for ; Mon, 15 Apr 1996 08:08:29 -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 IAA16615 for ; Mon, 15 Apr 1996 08:08:25 -0500 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id RAA15531; Mon, 15 Apr 1996 17:46:12 +0800 Message-Id: <199604150946.RAA15531@cs.uwa.oz.au> From: marco@idsia.ch (Marco Wiering) To: reinforce@cs.uwa.oz.au Subject: Levin Search and EIRA Date: Mon, 15 Apr 96 09:38:33 +0200 FTP-host: ftp.idsia.ch FTP-file: /pub/marco/ml_levin_eira.ps.gz or /pub/juergen/ml_levin_eira.ps.gz Solving POMDPs with Levin Search and EIRA Marco Wiering Juergen Schmidhuber Machine Learning: 13th Intern. Conf., 1996 9 pages, 86K compressed, 252K uncompressed Partially observable Markov decision problems (POMDPs) recently received a lot of attention in the reinforcement learning community. No attention, however, has been paid to Levin's universal search through program space (LS), which is theoretically optimal for a wide variety of search prob- lems including many POMDPs. Experiments in this paper show that LS can solve partially observable mazes (`POMs') involving many more states and obstacles than those solved by various previous authors. We then note, however, that LS is not necessarily optimal for learning problems where experience with previous problems can be used to speed up the search. For this reason, we introduce an adaptive extension of LS (ALS) which uses experience to increase probabilities of instructions occurring in successful programs found by LS. To deal with cases where ALS does not lead to long-term performance improvement, we use the recent technique ``environment-independent reinforcement acceleration'' (EIRA) as a safe- ty belt (EIRA currently is the only known method that guarantees a life- long history of reward accelerations). Additional experiments demon- strate: (a) ALS can dramatically reduce search time consumed by calls of LS. (b) Further significant speed-ups can be obtained by combining ALS and EIRA. To obtain a copy, do one of these: netscape http://www.idsia.ch/~marco/publications.html netscape http://www.idsia.ch/~juergen/onlinepub.html Marco Wiering Juergen Schmidhuber IDSIA From moody@chianti.cse.ogi.edu Tue Apr 16 04:52:08 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 EAA20329 for ; Tue, 16 Apr 1996 04:52:02 -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 EAA07522 for ; Tue, 16 Apr 1996 04:51:59 -0500 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id OAA13871; Tue, 16 Apr 1996 14:02:05 +0800 Message-Id: <199604160602.OAA13871@cs.uwa.oz.au> From: John Moody To: Reinforce@cs.uwa.edu.au Cc: moody@cs.uwa.oz.au Subject: Final CFP: NNs in the Capital Markets, Deadline May 1 [connectionists] Date: Mon, 15 Apr 96 19:44:11 -0700 -- Final Call for Papers -- 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 Original contributions representing new and significant research, development, and applications in the following areas of interest are invited: 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. Authors should send 5 copies of a 1000-word summary clearly stating their results to Dr. Y. Abu-Mostafa, Caltech 136-93, Pasadena, CA 91125, U.S.A. All submissions must be received before May 1, 1996. There will be a rigorous refereeing process to select the high-quality papers to be presented at the conference. Mailing List: If you wish to be added to the mailing list of NNCM-96, please send your postal address, e-mail address, and fax number to Dr. Y. Abu-Mostafa, Caltech 136-93, Pasadena, CA 91125, U.S.A. e-mail: yaser@caltech.edu , fax (818) 795-0326 Home Page: http://www.cs.caltech.edu/~learn/nncm.html From reiner@isy.liu.se Tue Apr 16 05:48:57 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id FAA20804 for ; Tue, 16 Apr 1996 05:48:51 -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 FAA07853 for ; Tue, 16 Apr 1996 05:48:50 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa07003; 16 Apr 96 5:04:58 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa07001; 16 Apr 96 4:40:44 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa12671; 16 Apr 96 4:40:15 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa22838; 16 Apr 96 4:38:26 EDT Received: from isy.liu.se by CS.CMU.EDU id aa02489; 16 Apr 96 4:38:14 EDT Received: from einstein.isy.liu.se by isy.liu.se (5.65b/isy.minimaster-V1.0b2) id AA17231; Tue, 16 Apr 96 10:38:07 +0200 From: Reiner Lenz Received: (from reiner@localhost) by einstein.isy.liu.se (8.7.1/8.7) id KAA12946; Tue, 16 Apr 1996 10:38:07 +0200 (MET DST) Date: Tue, 16 Apr 1996 10:38:07 +0200 (MET DST) Message-Id: <199604160838.KAA12946@einstein.isy.liu.se> To: connectionists@cs.cmu.edu Subject: Invariance, group representations and orientation estimation Problems involving the concept of invariance have received a lot of attention and although the following papers are somewhat outside the field of neural networks perhaps someone may find something intresting in them. The main idea is that invariance is often closely related to groups and there representations and that these in turn are closely related to special transforms. The most important example is shift-invariance which is related to the additive group which lead to the Fourier transform. If you are interested you can find some of the reprints in http://www.isy.liu.se/~reiner/proj_desc/section3_3.html GROUPS: is an overview article P2-invariance: Describes the application to permutation and projection invariance Group Theoretical Transforms: uses the dihedral group Lie-Matching: computes the orientation parameters from 3-D data and is an example of fast iterative matching algorithms based on the interplay between Lie-group and Lie-algebra. As I said before: Not strictly NN but perhaps interesting to someone. Best regards "Kleinphi macht auch Mist" Reiner Lenz | Dept. EE. | | Linkoeping University | email: reiner@isy.liu.se | S-58183 Linkoeping/Sweden | From stefano@kant.irmkant.rm.cnr.it Tue Apr 16 17:09:02 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 RAA04805 for ; Tue, 16 Apr 1996 17:08:39 -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 RAA21041 for ; Tue, 16 Apr 1996 17:08:35 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa07501; 16 Apr 96 15:51:21 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa07499; 16 Apr 96 15:35:24 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa12896; 16 Apr 96 15:34:04 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa00535; 16 Apr 96 13:51:34 EDT Received: from kant.irmkant.rm.cnr.it by RI.CMU.EDU id aa29343; 16 Apr 96 13:48:58 EDT Received: by kant.irmkant.rm.cnr.it (AIX 3.2/UCB 5.64/4.03) id AA19378; Tue, 16 Apr 1996 12:05:48 GMT Date: Tue, 16 Apr 1996 12:05:48 GMT From: Stefano Nolfi Message-Id: <9604161205.AA19378@kant.irmkant.rm.cnr.it> To: alife@cognet.ucla.edu, connectionists@cs.cmu.edu, gann@cs.iastate.edu Subject: Paper available on adaptive classification with autonomous robots Paper available via WWW / FTP: Keywords: Active Perception, Adaptive Behaviors, Evolutionary Robotics, Neural Networks, Genetic Algorithms. ------------------------------------------------------------------------------ ADAPTATION AS A MORE POWERFUL TOOL THAN DECOMPOSITION AND INTEGRATION Stefano Nolfi Institute of Psychology, C.N.R., Rome. Recently a new way of building control systems, known as behavior based robotics, has been proposed to overcome the difficulties of the traditional AI approach to robotics. Most of the work done in behavior-based robotics involves a decomposition process (in which the behavior required is broken down into simpler sub-components) and an integration process (in which the modules designed to produce the sub-behaviors are put together). In this paper we claim that decomposition and integration should be the result of an adaptation process and not of the decision of an experimenter.To support this hypothesis we show how in the case of a simple task in which a real autonomous robot is supposed to classify objects of different shapes, by letting the entire behavior emerge through an evolutionary technique,a more simple and robust solution can be obtained than by trying to design a set of modules and to integrate them. http://kant.irmkant.rm.cnr.it/public.html or ftp-server: kant.irmkant.rm.cnr.it (150.146.7.5) ftp-file : /pub/econets/nolfi.recog.ps.Z for the homepage of our research group with most of our publications available online and pointers to ALIFE resources see: http://kant.irmkant.rm.cnr.it/gral.html ---------------------------------------------------------------------------- Stefano Nolfi Institute of Psychology, C.N.R. Viale Marx, 15 - 00137 - Rome - Italy voice: 0039-6-86090231 fax: 0039-6-824737 e-mail: stefano@kant.irmkant.rm.cnr.it www: http://kant.irmkant.rm.cnr.it/nolfi.html From jhf@playfair.Stanford.EDU Wed Apr 17 00:43:47 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 AAA14967 for ; Wed, 17 Apr 1996 00:43:37 -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 AAA28300 for ; Wed, 17 Apr 1996 00:31:52 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa07915; 16 Apr 96 20:17:42 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa07913; 16 Apr 96 20:06:37 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13106; 16 Apr 96 20:06:05 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa05372; 16 Apr 96 19:41:22 EDT Received: from Playfair.Stanford.EDU by CS.CMU.EDU id aa09701; 16 Apr 96 19:39:31 EDT Received: (from jhf@localhost) by playfair.Stanford.EDU (8.7.1/8.6.10) id QAA22041 for connectionists@cs.cmu.edu; Tue, 16 Apr 1996 16:37:49 -0700 Date: Tue, 16 Apr 1996 16:37:49 -0700 From: "Jerome H. Friedman" Message-Id: <199604162337.QAA22041@playfair.Stanford.EDU> To: connectionists@cs.cmu.edu Subject: Paper available. *** Paper Announcement *** ON BIAS, VARIANCE, 0/1 - LOSS, AND THE CURSE-OF-DIMENSIONALITY Jerome H. Friedman Stanford University (jhf@playfair.stanford.edu) ABSTRACT The classification problem is considered in which an output variable assumes discrete values with respective probabilities that depend upon the simultaneous values of a set of input variables. At issue is how error in the estimates of these probabilities affects classification error when the estimates are used in a classification rule. These effects are seen to be somewhat counter intuitive in both their strength and nature. In particular the bias and variance components of the estimation error combine to influence classification in a very different way than with squared error on the probabilities themselves. Certain types of (very high) bias can be canceled by low variance to produce accurate classification. This can dramatically mitigate the effect of the bias associated with some simple estimators like "naive" Bayes, and the bias induced by the curse-of- dimensionality on nearest-neighbor procedures. This helps explain why such simple methods are often competitive with and sometimes superior to more sophisticated ones for classification, and why "bagging/aggregating" classifiers can often improve accuracy. These results also suggest simple modifications to these procedures that can (sometimes dramatically) further improve their classification performance. Available by ftp from: "ftp://playfair.stanford.edu/pub/friedman/curse.ps.Z" From smyth@galway.ICS.UCI.EDU Wed Apr 17 00:46:21 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 AAA15057 for ; Wed, 17 Apr 1996 00:45:43 -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 AAA28298 for ; Wed, 17 Apr 1996 00:31:50 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa07851; 16 Apr 96 19:19:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa07847; 16 Apr 96 19:06:47 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13019; 16 Apr 96 19:00:38 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa02627; 16 Apr 96 16:20:46 EDT Received: from paris.ics.uci.edu by CS.CMU.EDU id aa06475; 16 Apr 96 14:17:25 EDT Received: from galway.ics.uci.edu by paris.ics.uci.edu id aa05163; 16 Apr 96 11:02 PDT X-Mailer: exmh version 1.6 4/21/95 To: ml@ics.uci.edu, ai-stats@watstat.uwaterloo.ca, nl-kr@snyside.sunnyside.com, mlnet@swi.psy.uva.nl, news-announce-conferences@uunet.uu.net, Connectionists@cs.cmu.edu, uai@maillist.cs.orst.edu, bayes-news@stat.cmu.edu, nl-kr@cs.rpi.edu, cogpsy@neuro.psy.soton.ac.uk, colt@cs.uiuc.edu, ilpnet@ijs.si, kdd@gte.com, reinforce@cs.uwa.edu.au, comp-finance@teleport.com, sigart@vaxa.isi.edu Subject: Final CFP for Sixth AI and Statistics Workshop Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii Date: Tue, 16 Apr 1996 11:02:06 -0700 From: Padhraic Smyth Message-ID: <9604161102.aa05163@paris.ics.uci.edu> Apologies to those of you who receive this more than once, The deadline for 4-page abstracts is July 1, electronic submissions are encouraged. Padhraic Smyth AIStats97 General Chair Final Call For Papers SIXTH INTERNATIONAL WORKSHOP ON ARTIFICIAL INTELLIGENCE AND STATISTICS January 4-7, 1997 Ft. Lauderdale, Florida http://www.stat.washington.edu/aistats97/ PURPOSE: This is the sixth in a series of workshops which has brought together researchers in Artificial Intelligence (AI) and in Statistics to discuss problems of mutual interest. The exchange has broadened research in both fields and has strongly encouraged interdisciplinary work. Papers on all aspects of the interface between AI & Statistics are encouraged. FORMAT: To encourage interaction and a broad exchange of ideas, the presentations will be limited to about 20 discussion papers in single session meetings over three days (Jan. 5-7). Focussed poster sessions will provide the means for presenting and discussing the remaining research papers. Papers for poster sessions will be treated equally with papers for presentation in publications. Attendance at the workshop will *not* be limited. The three days of research presentations will be preceded by a day of tutorials (Jan. 4). These are intended to expose researchers in each field to the methodology used in the other field. The tutorial speakers are A. P. Dawid (University College London), Michael Jordan (MIT), Tom Mitchell (Carnegie Mellon), and Mike West (Duke University). TOPICS OF INTEREST: - automated data analysis and knowledge representation for statistics - statistical strategy - metadata and design of statistical data bases - multivariate graphical models, belief networks - causality - cluster analysis and unsupervised learning - predictive modeling: classification and regression - interpretability in modeling - model uncertainty, multiple models - probability and search - knowledge discovery in databases - integrated man-machine modeling methods - statistical methods in AI approaches to vision, robotics, pattern recognition, software agents, planning, information retrieval, natural language processing, etc. - AI methods applied to problems in statistics such as statistical advisory systems, experimental design, exploratory data analysis, causal modeling, etc. This list is not intended to define an exclusive list of topics of interest. Authors are encouraged to submit papers on any topic which falls within the intersection of AI and Statistics. SUBMISSION REQUIREMENTS: Three copies of an extended abstract (up to 4 pages) should be sent to David Madigan, Program Chair 6th International Workshop on AI and Statistics Department of Statistics, Box 354322 University of Washington Seattle, WA 98195 or electronically (postscript or latex preferred) to aistats@stat.washington.edu Submissions for will be considered if *postmarked* by June 30, 1996. If the submission is electronic (e-mail), then it must be *received* by midnight July 1, 1996. Please indicate which topic(s) your abstract addresses and include an electronic mail address for correspondence. Receipt of all submissions will be confirmed via electronic mail. Acceptance notices will be mailed by September 1, 1996. Preliminary papers (up to 20 pages) must be returned by November 1, 1996. These preliminary papers will be copied and distributed at the workshop. PROGRAM COMMITTEE: General Chair: P. Smyth UC Irvine and JPL Program Chair: D. Madigan U. Washington Members: Russell Almond, ETS, Princeton Wray Buntine, Thinkbank, Inc. Peter Cheeseman, NASA Ames Paul Cohen, University of Massachusetts Greg Cooper, University of Pittsburgh Bill DuMouchel, Columbia University Doug Fisher, Vanderbilt University Dan Geiger, Technion Clark Glymour, Carnegie-Mellon University David Hand, Open University, UK Steve Hanks, University of Washington Trevor Hastie, Stanford University David Haussler, UC Santa Cruz David Heckerman, Microsoft Paula Hietala, University of Tampere, Finland Geoff Hinton, University of Toronto Mike Jordan, MIT Hans Lenz, Free University of Berlin, Germany David Lewis, AT&T Bell Labs Andrew Moore, Carnegie-Mellon University Radford Neal, University of Toronto Jonathan Oliver, Monash University, Australia Steve Omohundro, NEC Research, Princeton Judea Pearl, UCLA Daryl Pregibon, AT&T Bell Labs Ross Shachter, Stanford University Glenn Shafer, Rutgers University Prakash Shenoy, University of Kansas David Spiegelhalter, MRC, Cambridge, UK Peter Spirtes, Carnegie-Mellon University MORE INFORMATION: For more information see the workshop's Web page: http://www.stat.washington.edu/aistats97/ or write David Madigan at aistats@stat.washington.edu for inquiries concerning the technical program or Padhraic Smyth at aistats@jpl.nasa.gov for other inquiries about the workshop. Write to ai-stats-request@watstat.uwaterloo.ca to subscribe to the AI and Statistics mailing list. -------- From ajit@austin.ibm.com Wed Apr 17 18:04:48 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 SAA07534 for ; Wed, 17 Apr 1996 18:04:41 -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 SAA15713 for ; Wed, 17 Apr 1996 18:04:39 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa09314; 17 Apr 96 15:36:52 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa09275; 17 Apr 96 14:59:41 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13919; 17 Apr 96 14:58:35 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa17041; 17 Apr 96 12:40:16 EDT Received: from [129.35.208.98] by EDRC.CMU.EDU id aa13429; 17 Apr 96 12:39:07 EDT Received: from ding.austin.ibm.com (ding.austin.ibm.com [129.35.221.140]) by netmail.austin.ibm.com (8.6.12/8.6.11) with SMTP id LAA101599 for ; Wed, 17 Apr 1996 11:37:54 -0500 Received: by ding.austin.ibm.com (AIX 3.2/UCB 5.64/4.03-client-2.6) for Connectionists@CS.CMU.EDU at austin.ibm.com; id AA32765; Wed, 17 Apr 1996 11:37:52 -0500 Date: Wed, 17 Apr 1996 11:37:52 -0500 From: Dingankar Message-Id: <9604171637.AA32765@ding.austin.ibm.com> To: Connectionists@cs.cmu.edu Subject: Neuroprose paper announcement Reply-To: ajit@austin.ibm.com Organization: IBM, Austin Ftp-Host: archive.cis.ohio-state.edu Ftp-Filename: /pub/neuroprose/dingankar.tensor-products2.ps.Z **DO NOT FORWARD TO OTHER GROUPS** Sorry, no hardcopies available. 4 pages. Greetings! The following invited paper will be presented at ISCAS in May 1996. The compressed PostScript file is available in the Neuroprose archive; the details (URL, bibtex entry and abstract) follow. Thanks, Ajit ------------------------------------------------------------------------------ URL: ftp://archive.cis.ohio-state.edu/pub/neuroprose/dingankar.tensor-products2.ps.Z BiBTeX entry: @INPROCEEDINGS{atd:iscas-96, AUTHOR ="Dingankar, Ajit T. and Sandberg, Irwin W.", TITLE ="{Tensor Product Neural Networks and Approximation of Dynamical Systems}", BOOKTITLE ="Proceedings of the International Symposium on Circuits and Systems", YEAR ="1996", EDITOR ="", PAGES ="", ORGANIZATION ="", PUBLISHER ="", ADDRESS ="Atlanta, Georgia", MONTH ="May 13--15" } Tensor Product Neural Networks and Approximation of Dynamical Systems --------------------------------------------------------------------- ABSTRACT We consider the problem of approximating any member of a large class of input-output operators of nonlinear dynamical systems. The systems need not be shift invariant, and the system inputs need not be continuous. We introduce a family of ``tensor product'' dynamical neural networks, and show that a certain continuity condition is necessary and sufficient for the existence of arbitrarily good approximations using this family. From jlarsen@eivind.ei.dtu.dk Wed Apr 17 18:04:51 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 SAA07532 for ; Wed, 17 Apr 1996 18:04:39 -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 SAA15711 for ; Wed, 17 Apr 1996 18:04:37 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa09273; 17 Apr 96 15:26:18 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa09271; 17 Apr 96 14:58:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa13911; 17 Apr 96 14:58:03 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa13879; 17 Apr 96 8:28:38 EDT Received: from eivind.ei.dtu.dk by EDRC.CMU.EDU id aa12334; 17 Apr 96 8:27:48 EDT Received: from jl.ei.dtu.dk by eivind.ei.dtu.dk with SMTP(1.38.193.4/16.2) for connectionists@cs.cmu.edu id AA02648; Wed, 17 Apr 1996 14:30:37 +0200 Received: by jl.ei.dtu.dk with Microsoft Mail id <01BB2C6A.058CF520@jl.ei.dtu.dk>; Wed, 17 Apr 1996 14:27:35 +-200 Message-Id: <01BB2C6A.058CF520@jl.ei.dtu.dk> From: Jan Larsen To: "'connectionists@cs.cmu.edu'" Subject: Ph.D. Course in Advanced Digital Signal Processing Date: Wed, 17 Apr 1996 14:27:33 +-200 Encoding: 41 TEXT ******************** *** ANNOUNCEMENT *** ******************** Ph.D. Course in Advanced Digital Signal Processing Host: Section for Digital Signal Processing, Dept. of Mathematical Modelling, Technical University of Denmark. Course responsible persons: Assoc. Prof. Lars Kai Hansen, email: lkhansen@ei.dtu.dk Assoc. Prof. Steffen Duus Hansen, email: sdh@imm.dtu.dk Assis. Prof. Jan Larsen, email: jl@imm.dtu.dk Assoc. Prof. John Aasted Sorensen, email: jaas@imm.dtu.dk Course Highlight: * Design of neural networks. * Signal processing with neural networks. * Vector quantization with application to speech technology. * Adaptive signal processing, filter banks and wavelets. Dates: Full time in weeks 25, 26 and 27, June and July 1996. Registration: Deadline: May 1, 1996. Department of Mathematical Modelling, Build. 321, Technical University of Denmark, DK-2800 Lyngby, Phone +45 45881433. Fax +45 45881397. Notification of acceptance: May 10, 1996. Further info: Course Description: http://www.ei.dtu.dk/teaching/phd_AdvDigSignalProc.html DSP Section Homepage: http://www.ei.dtu.dk/dsphomepage.html !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! !!! Please forward this message to people who might be interested !!! !!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!! -- Jan Larsen From verleysen@dice.ucl.ac.be Thu Apr 18 15:28:58 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id PAA27917 for ; Thu, 18 Apr 1996 15:28:49 -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 PAA04154 for ; Thu, 18 Apr 1996 15:28:47 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa10593; 18 Apr 96 14:16:27 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa10591; 18 Apr 96 13:55:57 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa00359; 18 Apr 96 13:55:31 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa04903; 18 Apr 96 12:59:57 EDT Received: from ns1.dice.ucl.ac.be by EDRC.CMU.EDU id aa19510; 18 Apr 96 12:58:15 EDT Received: from [130.104.31.81] (Roger-Rabbit.dice.ucl.ac.be [130.104.31.81]) by ns1.dice.ucl.ac.be (8.7.4/13.12.95) with SMTP id QAA05395; Thu, 18 Apr 1996 16:16:19 +0200 (MET DST) Message-Id: <199604181416.QAA05395@ns1.dice.ucl.ac.be> X-Sender: verleyse@ns1.dice.ucl.ac.be Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Thu, 18 Apr 1996 16:21:32 +0100 To: NEURO1-L@UICVM.CC.UIC.EDU, neuron-request@CATTELL.psych.upenn.edu, Connectionists@cs.cmu.edu, enns-list@dcs.kcl.ac.uk, neur-sci@dl.ac.uk, comp-neuro@smaug.bbb.caltech.edu, frog-net@rana.usc.edu, echos@dmi.ens.fr, cogni-info@univ-lyon1.fr, neuropl@plearn.edu.pl From: verleysen@dice.ucl.ac.be Subject: Neural Processing Letters - new publisher Dear colleagues, The "Neural Processing Letters" journal is published each two months since 1994; its aim is to rapidly publish new ideas or new developments in the field of artificial neural networks. Today, we are happy to announce you that Kluwer Academic Publishers will publish this journal from 1996, in order to ensure its worldwide distribution. More information will be soon available on a WWW server. Nevertheless, in the meantime,you will find enclosed some details from Kluwer (see below). You can also contact Mike Casey for free sample copies of the journal, and any details about the submission of papers: Mike Casey Kluwer academic publishers Spuiboulevard 50 P.O. Box 17 NL - 3300 AA Dordrecht The Netherlands Phone: + 31 78 6392219 Fax: + 31 78 6392254 E-mail: casey@wkap.nl Thank you for your interest in this journal. Michel Verleysen, co-editor. ----------------------------------------------------------------------------- ----------------------------------------------------------------------------- Neural Processing Letters ------------------------- Editor: Michel Verleysen Universite Catholique de Louvain, Belgium Francois Blayo EERIE, Lyon, France Neural Processing Letters is an international journal publishing research results and innovative ideas in all fields of artificial neural networks. Prospective authors are encouraged to submit letters concerning any aspect of the Artificial Neural Networks field including, but not restricted to, theoretical developments, biological models, new formal modes, learning, applications, software and hardware developments, and prospective researches. The journal promotes fast exchange of information in the community of neural network researchers and users. The resurgence of interest in the field of artificial neural networks since the beginning of the 1980s is coupled to tremendous research activity in specialized or multidisciplinary groups. Research, however, is not possible without good communication between people and the exchange of information, especially in a field covering such different areas; fast communication is also a key aspect, and this is the reason for Neural Processing Letters. Subscription Information: Kluwer Academic Publishers, Boston ISSN: 1370-4621 1996, Volumes 3-4 (6 issues) Prices: Institutional Price NLG: 357.00 Institutional Price USD: 217.00 Private Price NLG: 250.00 Private Price USD: 150.00 ============================================================================= SUBSCRIPTION ORDER FORM Journal Title: Neural Processing Letters 1996, Volumes 3-4 (6 issues) ISSN: 1370-4621 Institutional Rate: NLG: 357.00 USD: 217.00 Ref: KAPIS ( ) Payment enclosed to the amount of ___________________________ ( ) Please send invoice ( ) Please charge my credit card account: Card no.: |_|_|_|_|_|_|_|_|_|_|_|_|_|_|_|_| Expiry date: ______________ () Access () American Express () Mastercard () Diners Club () Eurocard () Visa Name of Card holder: ___________________________________________________ Delivery address: Title : ___________________________ Initials: _______________M/F______ First name : ______________________ Surname: ______________________________ Organization: ______________________________________________________________ Department : ______________________________________________________________ Address : ______________________________________________________________ Postal Code : ___________________ City: ____________________________________ Country : _____________________________Telephone: ______________________ Email : ______________________________________________________________ Date : _____________________ Signature: _____________________________ Our European VAT registration number is: |_|_|_|_|_|_|_|_|_|_|_|_|_|_| To be sent to: For customers in Mexico, USA, Canada and Rest of the world: Latin America: Kluwer Academic Publishers Kluwer Academic Publishers Group Order Department Journals Department P.O. Box 358 P.O. Box 322 Accord Station 3300 AH Dordrecht Hingham, MA 02018-0358 The Netherlands U.S.A. Tel : 617 871 6600 Tel : +31 78 6392392 Fax : 617 871 6528 Fax : +31 78 6546474 Email : kluwer@wkap.com Email : services@wkap.nl Payment will be accepted in any convertible currency. Please check the rate of exchange with your bank. Prices are subject to change without notice. All prices are exclusive of Value Added Tax (VAT). Customers in the Netherlands please add 6% VAT. Customers from other countries in the European Community: * please fill in the VAT number of your institute/company in the appropriate space on the orderform: or * please add 6% VAT to the total order amount (customers from the U.K. are not charged VAT). ============================================================================= ===================================================== Michel Verleysen Universite Catholique de Louvain Microelectronics Laboratory 3, pl. du Levant B-1348 Louvain-la-Neuve Belgium tel: +32 10 47 25 51 fax: + 32 10 47 86 67 E-mail: verleysen@dice.ucl.ac.be WWW: http://www.dice.ucl.ac.be/~verleyse/MV.html ===================================================== From terry@salk.edu Thu Apr 18 21:17:57 1996 Received: from lucy.cs.wisc.edu (lucy.cs.wisc.edu [128.105.2.11]) by sea.cs.wisc.edu (8.6.12/8.6.12) with ESMTP id VAA02885 for ; Thu, 18 Apr 1996 21:17:41 -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 VAA10151 for ; Thu, 18 Apr 1996 21:17:39 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa10609; 18 Apr 96 14:31:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa10607; 18 Apr 96 14:21:02 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa00403; 18 Apr 96 14:20:26 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa05942; 18 Apr 96 14:13:23 EDT Received: from helmholtz.salk.edu by CS.CMU.EDU id aa26328; 18 Apr 96 14:11:58 EDT Received: by salk.edu (4.1/SMI-4.1) id AA17272; Thu, 18 Apr 96 11:04:23 PDT Date: Thu, 18 Apr 96 11:04:23 PDT From: Terry Sejnowski Message-Id: <9604181804.AA17272@salk.edu> To: connectionists@cs.cmu.edu Subject: NEURAL COMPUTATION 8:4 Cc: terry@salk.edu Neural Computation - Contents Volume 8, Number 4 - May 15, 1996 Article: Stable encoding of large finite-state automata in recurrent neural networks with signoid discriminants Christian W. Omlin and C. Lee Giles Note: Unicycling helps your French: Spontaneous recovery of association by learning unrelated tasks Inman Harvey and James V. Stone Letters: A theory of the visual motion coding in the primary visual cortex Zhaoping Li Alignment of Coexisting Cortical Maps in a Motor Control Model James A. Reggia and Yinong Chen Controlling the magnification factor of self-organizing feature maps H.-U. Bauer, R. Der and M. Herrmann Semilinear Predictability Minimization Produces Well-Known Feature Detectors Jurgen Schmidhuber, Martin Eldracher and Bernhard Foltin Learning with preknowledge: Clustering with point and graph matching distance measures Steven Gold, Anand Rangarajan and Eric Mjolsness Analog versus discrete neural networks Bhaskar DasGupta and Georg Schnitger On the relationship between generalization error, hypothesis complexity, and sample complexity for radial basis functions Partha Niyogi and Federico Girosi Using neural networks to model conditional multivariate densities Peter M. Williams Pruning with replacement on limited resource allocation networks by F-projections Christophe Molina and Mahesan Niranjan Engineering mulitversion neural-net systems D. Partridge and W. B. Yates Effects of nonlinear synapses on the performance of multilayer neural networks G. Dundar, F-C. Hsu, and K. Rose ----- ABSTRACTS - http://www-mitpress.mit.edu/jrnls-catalog/neural.html SUBSCRIPTIONS - 1996 - VOLUME 8 - 8 ISSUES ______ $50 Student and Retired ______ $78 Individual ______ $220 Institution Add $28 for postage and handling outside USA (+7% GST for Canada). (Back issues from Volumes 1-7 are regularly available for $28 each to institutions and $14 each for individuals Add $5 for postage per issue outside USA (+7% GST for Canada) mitpress-orders@mit.edu MIT Press Journals, 55 Hayward Street, Cambridge, MA 02142. Tel: (617) 253-2889 FAX: (617) 258-6779 ----- From robert@fit.qut.edu.au Fri Apr 19 13:45:08 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 NAA17525 for ; Fri, 19 Apr 1996 13:45:00 -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 NAA23284 for ; Fri, 19 Apr 1996 13:44:58 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa11889; 19 Apr 96 11:32:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa11887; 19 Apr 96 11:14:20 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01447; 19 Apr 96 11:14:16 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa16267; 19 Apr 96 3:55:35 EDT Received: from ocean.fit.qut.edu.au by EDRC.CMU.EDU id aa22897; 19 Apr 96 3:55:11 EDT Received: (from robert@localhost) by ocean.fit.qut.edu.au (8.7.4/8.7.2) id RAA12544; Fri, 19 Apr 1996 17:26:17 +1000 (EST) Date: Fri, 19 Apr 1996 17:26:17 +1000 (EST) From: Robert Andrews To: connectionists@cs.cmu.edu Subject: Rule Extraction Book Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII ======================== NEW BOOK ANNOUNCEMENT ============================ RULES AND NETWORKS Proceedings of the Rule Extraction From Trained Artificial Neural Networks Workshop Society for the Study of Artificial Intelligence and the Simulation of Behavior Workshop Series, (AISB'96) University of Sussex, Brighton, UK. 2nd April, 1996 Robert Andrews & Joachim Diederich (Editors) =========================== ORDER FORM =================================== Name: _________________________________________________ Address: ______________________________________________ ______________________________________________ ______________________________________________ ______________________________________________ Number of Copies: __________ @ $22.00 (Australian) ___________ Postage & Handling (A$4.00 in Aust, A$10.00 O'Seas) ___________ TOTAL ___________ Payment (in Australian Dollars) Cheque/Money Order made out to: QUT BookShop GPO Box 2434, Brisbane. 4001. Queensland, Australia. Credit Card: MasterCard / Visa / BankCard Number: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ Expiry: / / ======================= TABLE OF CONTENTS ================================ Rules and Local Function Networks Robert Andrews and Shlomo Geva The Extraction of Sugeno Fuzzy Rules From Neural Networks Adelmo L. Cechin, Ulrich Epperlein, Wolfgang Rosenstiel and Bernhard Koppenhoefer RULE_OUT Method: A New Approach For Knowledge Explicitation From Trained ANN Loic Decloedt, Fernando Osorio and Bernard Amy Rule Initialisation by Neural Networks Joachim Diederich, James M Hogan, Mostefa Golea and Santhi Muthiah Explaining Results of Neural Networks by Contextual Importance and Utility Kary Framling On the Complexity of Rule Extraction From Neural Networks and Network Querying Mostefa Golea Rule Extraction from Neural Networks Peter Howes and Nigel Crook Using Relevance Information in the Acquisition of Rules >From a Neural Network Geraint Johnson, L Nealon and Roger O. Lindsay Initialization by Rule Induction Prior to Learning Ralf Salomon DEDEC: A Methodology for Extracting Rules From Trained Artificial Neural Networks Alan B. Tickle, Marian Orlowski and Joachim Diederich An Algorithm for Extracting Propositions From Trained Neural Networks Using Mltilinear Functions Hiroshi Tsukimoto and Chie Morita Automatic Acquisition of Symbolic Knowledge From Subsymbolic Neural Networks Alfred Ultsch and Dieter Korus Rule Extraction From Trained Neural Networks: Different Techniques for the Determination of Herbicides for the Plant Protection Advisory System PRO_PLANT Ubbo Visser, Alan Tickle, Ross Hayward and Robert Andrews From pelillo@dsi.unive.it Sat Apr 20 14:25:06 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 OAA01223 for ; Sat, 20 Apr 1996 14:24:46 -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 WAA01366 for ; Fri, 19 Apr 1996 22:40:58 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa12157; 19 Apr 96 16:17:56 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa12155; 19 Apr 96 15:57:57 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa01526; 19 Apr 96 15:33:27 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa21496; 19 Apr 96 11:41:16 EDT Received: from oink.dsi.unive.it by RI.CMU.EDU id aa14176; 19 Apr 96 9:37:58 EDT Organization: CDL Informatica - Universita' Venezia Received: (from pelillo@localhost) by oink.dsi.unive.it (8.7.3/8.7.3) id PAA19019 for Connectionists@CS.CMU.EDU; Fri, 19 Apr 1996 15:09:33 +0200 (MET DST) From: Marcello Pelillo Message-Id: <199604191309.PAA19019@oink.dsi.unive.it> Subject: EMMCVPR'97 - Venice - Call for Papers To: Connectionists@cs.cmu.edu Date: Fri, 19 Apr 1996 15:09:32 +0200 (MET DST) MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit CALL FOR PAPERS International Workshop on ENERGY MINIMIZATION METHODS IN COMPUTER VISION AND PATTERN RECOGNITION Venice, Italy, May 21-23, 1997 Energy minimization methods represent a fundamental methodology in computer vision and pattern recognition, with roots in such diverse disciplines as Physics, Psychology, and Statistics. Recent manifestations of the idea include Markov random fields, relaxation labeling, various types of neural networks, etc. These techniques are finding application in areas such as early vision, graph matching, motion analysis, visual reconstruction, etc. The aim of this workshop is to consolidate research efforts in this area, and to provide a discussion forum for researchers and practitioners interested in this important yet diverse subject. The scientific program of the workshop will include the presentation of invited talks and contributed research papers. The workshop is sponsored by the International Association for Pattern Recognition (IAPR) and organized by the Department of Applied Mathematics and Computer Science of the University of Venice "Ca' Foscari." Topics Papers covering (but not limited to) the following topics are solicited: Theory: (e.g., Bayesian contextual methods, biology-inspired methods, discrete optimization, information theory and statistics, learning and parameter estimation, Markov random fields, neural networks, relaxation processes, statistical mechanics approaches, stochastic methods, variational methods) Methodology: (e.g., deformable models, early vision, matching, motion, object recognition, shape, stereo, texture, visual organization) Applications: (e.g., character and text recognition, face processing, handwriting, medical imaging, remote sensing) Program co-chairs Marcello Pelillo, University of Venice, Italy Edwin R. Hancock, University of York, UK Program committee Davi Geiger, New York University, USA Anil K. Jain, Michigan State University, USA Josef Kittler, University of Surrey, UK Stan Z. Li, Nanyang Technological University, Singapore Jean-Michel Morel, Universite' Paris Dauphine, France Maria Petrou, University of Surrey, UK Anand Rangarajan, Yale University, USA Sergio Solimini, Polytechnic of Bari, Italy Alan L. Yuille, Harvard University, USA Josiane Zerubia, INRIA, France Steven W. Zucker, McGill University, Canada Invited speakers Anil K. Jain, Michigan State University, USA Josef Kittler, University of Surrey, UK Alan L. Yuille, Harvard University, USA Steven W. Zucker, McGill University, Canada Venue The workshop will be held at the University of Venice "Ca' Foscari." The lecture theater will be in the historic center of Venice, and accommodation will be provided in nearby hotels. Submission procedure Prospective authors should submit four copies of their contribution(s) by September 9, 1996 to: Marcello Pelillo (EMMCVPR'97) Dipartimento di Matematica Applicata e Informatica Universita' "Ca' Foscari" di Venezia Via Torino 155, 30173 Venezia Mestre, Italy E-mail: pelillo@dsi.unive.it The manuscripts submitted should be no longer than 15 pages, and the cover page should contain: title, author's name, affiliation and address, e-mail address, fax and telephone number, and an abstract no longer than 200 words. In case of joint authorship, the first name will be used for correspondence unless otherwise requested. All manuscripts will be reviewed by at least two members of the program committee. Accepted papers will appear in the proceedings which are expected to be published in the series Lecture Notes in Computer Science by Springer-Verlag, and will be distributed to all participants at the workshop. In order to get a high-quality book with a uniform and professional appearance, prospective authors are strongly encouraged to use the LaTeX style file available at the WWW site indicated below. Important dates Paper submission deadline: September 9, 1996 Notification of acceptance: December 1996 Camera-ready paper due: February 1997 Homepage Information on the workshop is maintained at http://Dcpu1.cs.york.ac.uk:6666/~adjc/EMMCVPR97.html This page will be updated continuously and will include information on accepted papers and the final program. Concomitant events During the week following EMMCVPR'97, participants will have the opportunity to attend the 3rd International Workshop on Visual Form (IWVF3) to be held in Capri, May 28-30. For additional information please contact any of the co-chairmen Carlo Arcelli (car@imagm.na.cnr.it), Luigi Cordella (cordel@nadis.dis.unina.it), and Gabriella Sanniti di Baja (gsdb@imagm.na.cnr.it), or see http://amalfi.dis.unina.it/IWF3/iwvf3cfp.html