From Tom_Mitchell@daylily.learning.cs.cmu.edu Mon Apr 14 01:22:37 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 BAA07332 for ; Mon, 14 Apr 1997 01:22:30 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.7.6/8.7.3) with SMTP id BAA10052 for ; Mon, 14 Apr 1997 01:22:28 -0500 (CDT) Message-Id: <199704140622.BAA10052@lucy.cs.wisc.edu> Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa01027; 14 Apr 97 1:14:36 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa01025; 14 Apr 97 0:52:04 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa22909; 14 Apr 97 0:51:59 EDT To: Connectionists@cs.cmu.edu Subject: new Machine Learning book Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii Date: Sun, 13 Apr 1997 15:44:05 -0400 From: Tom Mitchell NEW COMPREHENSIVE TEXTBOOK: Machine Learning, Tom Mitchell, McGraw Hill McGraw Hill announces immediate availability of MACHINE LEARNING, a new textbook that provides a thorough, multi-disciplinary introduction to computer algorithms for automated learning. The chapter outline is: 1. Introduction 2. Concept Learning and the General-to-Specific Ordering 3. Decision Tree Learning 4. Artificial Neural Networks 5. Evaluating Hypotheses 6. Bayesian Learning 7. Computational Learning Theory 8. Instance-Based Learning 9. Genetic Algorithms 10. Learning Sets of Rules 11. Analytical Learning 12. Combining Inductive and Analytical Learning 13. Reinforcement Learning (414 pages) This book is intended for upper-level undergraduates, graduate students, and professionals working in the area of neural networks, machine learning, datamining, and statistics. It includes over a hundred homework exercises, along with web-accessible code and datasets (e.g., neural networks applied to face recognition, Bayesian learning applied to text classification). For further information and ordering instructions, see http://www.cs.cmu.edu/~tom/mlbook.html From amari@zoo.riken.go.jp Mon Apr 14 01:22:39 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 BAA07335 for ; Mon, 14 Apr 1997 01:22:33 -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 BAA10054 for ; Mon, 14 Apr 1997 01:22:31 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa01087; 14 Apr 97 1:26:14 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa01030; 14 Apr 97 0:52:56 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa22913; 14 Apr 97 0:52:03 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa29842; 13 Apr 97 23:53:22 EDT Received: from [134.160.33.2] by EDRC.CMU.EDU id aa25515; 13 Apr 97 23:52:44 EDT Received: from zoo.riken.go.jp (amari@zoo [134.160.48.26]) by postman.riken.go.jp (8.8.5/3.5Wpl1-RIKEN) with SMTP id MAA12792 for ; Mon, 14 Apr 1997 12:52:04 +0900 (JST) Received: by zoo.riken.go.jp; (5.65v3.2/1.1.8.2/24Apr95-0454PM) id AA28110; Mon, 14 Apr 1997 12:52:07 +0900 Date: Mon, 14 Apr 1997 12:52:07 +0900 Message-Id: <9704140352.AA28110@zoo.riken.go.jp> From: Shunichi Amari To: connectionists@cs.cmu.edu Subject: new papers (Natural gradient learning, Blind source separation, etc) The following three papers are now available from my home page: http://www.bip.riken.go.jp/irl/amari/amari.html There are many other recent papers to be publishes in the same home page. There are some other joint papers in the home page of Prof. Cichocki. I am very bad at maintaining my home page, and I have renewed it. ********************** 1. Natural Gradient Works Efficiently in Learning ------submitted to Neural Computation for possible publication abstract When a parameter space has a certain underlying structure, the ordinary gradient of a function does not represent its steepest direction but the natural gradient does. Information geometry is used for calculating the natural gradients in the parameter space of perceptrons, the space of matrices (for blind source separation) and the space of linear dynamical systems (for blind source deconvolution). The dynamical behavior of natural gradient on-line learning is analyzed and is proved to be Fisher efficient, implying that it has asymptotically the same performance as the optimal batch estimation of parameters. This suggests that the plateau phenomenon which appears in the backpropagation learning algorithm of multilayer perceptrons might disappear or might be not so serious when the natural gradient is used. An adaptive method of updating the learning rate is proposed and analyzed. ********************** title 2. STABILITY ANALYSIS OF ADAPTIVE BLIND SOURCE SEPARATION -------accepted for publication in Neural Networks abstract Recently a number of adaptive learning algorithms have been proposed for blind source separation. Although the underlying principles and approaches are different, most of them have very similar forms. Two important issues have remained to be elucidated further: the statistical efficiency and the stability of learning algorithms. The present letter analyzes a general form of statistically efficient algorithm and give a necessary and sufficient condition for the separating solution to be a stable equilibrium of a general learning algorithm. Moreover, when the separating solution is unstable, a simple method is given for stabilizing the separating solution by modifying the algorithm. ************************* title 3. Superefficiency in Blind Source Separation ----------submitted to IEEE Tr. on Signal Processing abstract Blind source separation extracts independent component signals from their mixtures without knowing the mixing coefficients nor the probability distributions of source signals. It is known that some algorithms work surprisingly well. The present paper elucidates the superefficiency of algorithms based on the statistical analysis. It is in general known from the asymptotic theory of statistical analysis that the covariance of any two extracted independent signals converges to $0$ in the order of $1/t$ in the case of statistical estimation by using $t$ examples. In the case of on-line learning, the theory of on-line dynamics shows that the covariances converge to $0$ in the order of $\eta$ when the learning rate $\eta$ is fixed to be a small constant. In contrast with the above general properties, the surprising superefficiency holds in blind source separation under a certain conditions. The superefficiency implies that the covariance decreases in the order of $1/t^2$ or of $\eta ^2$. The present paper uses the natural gradient learning algorithm and the method of estimating functions to obtain the superefficient procedures for both estimation and on-line learning. The superefficiency does not imply that the error variances of the extracted signals decrease in the order of $1/t^2$ or $\eta ^2$, but implies that their covariances do. From elman@crl.ucsd.edu Mon Apr 14 18:17:06 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 SAA14441 for ; Mon, 14 Apr 1997 18:17:02 -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 SAA25642 for ; Mon, 14 Apr 1997 18:16:59 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa01935; 14 Apr 97 10:42:45 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa01917; 14 Apr 97 10:27:28 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa23501; 14 Apr 97 10:27:03 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa18444; 12 Apr 97 23:12:02 EDT Received: from popmail.ucsd.edu by EDRC.CMU.EDU id aa21279; 12 Apr 97 23:11:14 EDT Received: from crl.UCSD.EDU (crl.ucsd.edu [132.239.147.60]) by popmail.UCSD.EDU (8.8.5/8.6.9) with ESMTP id UAA14441 for ; Sat, 12 Apr 1997 20:11:11 -0700 (PDT) Received: by crl.UCSD.EDU (8.8.5/UCSDGENERIC.5) id UAA09634 to connectionist-request@cs.cmu.edu; Sat, 12 Apr 1997 20:10:25 -0700 (PDT) Date: Sat, 12 Apr 1997 20:10:25 -0700 (PDT) From: Jeff Elman Message-Id: <199704130310.UAA09634@crl.UCSD.EDU> To: connectionist-request@cs.cmu.edu Subject: new book announcement: Exercises in Rethinking Innateness EXERCISES IN RETHINKING INNATENESS A Handbook for Connectionist Simulations by Kim Plunkett and Jeffrey L. Elman This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer the question "What does it mean to say that a behavior is innate?" The new work provides concrete illustrations--in the form of computer simulations--of properties of connectionist models that are particularly relevant to cognitive development. This enables the reader to pursue in depth some of the practical and empirical issues raised in the first book. The authors' larger goal is to demonstrate the usefulness of neural network modeling as a research methodology. The book comes with a complete software package, including demonstration projects, for running neural network simulations on both Macintosh and Windows 95. It also contains a series of exercises in the use of the neural network simulator provided with the book. The software is also available to run on a variety of UNIX platforms. Neural Network Modeling and Connectionism series MIT Press/Bradford Books May 1997 ISBN 0-262-66105-5 254 pp. $40.00 (paper) MIT Press WWW page, with ordering information: http://mitpress.mit.edu:8000/mitp/recent-books/cog/pluep.html From john@dcs.rhbnc.ac.uk Tue Apr 15 00:55:33 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 AAA16861 for ; Tue, 15 Apr 1997 00:55:26 -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 AAA01469 for ; Tue, 15 Apr 1997 00:55:25 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa02245; 14 Apr 97 14:19:23 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa02242; 14 Apr 97 14:04:29 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa23657; 14 Apr 97 14:03:44 EDT From: John Shawe-Taylor Message-Id: <199704141424.PAA02779@platon.cs.rhbnc.ac.uk> X-Authentication-Warning: platon.cs.rhbnc.ac.uk: Host localhost didn't use HELO protocol To: Connectionists@cs.cmu.edu Subject: Technical Report Series in Neural and Computational Learning Date: Mon, 14 Apr 97 15:24:48 +0100 X-Mts: smtp The European Community ESPRIT Working Group in Neural and Computational Learning Theory (NeuroCOLT) has produced a set of new Technical Reports available from the remote ftp site described below. They cover topics in real valued complexity theory, computational learning theory, and analysis of the computational power of continuous neural networks. Abstracts are included for the titles. The following technical report has been updated to include information about the system described in NC-TR-97-038: ---------------------------------------- NeuroCOLT Technical Report NC-TR-97-028: ---------------------------------------- Overview of Learning Systems produced by NeuroCOLT Partners by NeuroCOLT Partners Abstract: This NeuroCOLT Technical Report documents a number of systems that have been produced withing the NeuroCOLT partnership. It only includes a summary of each system together with pointers to where the system is located and more information about its performance and design can be found. ---------------------------------------- NeuroCOLT Technical Report NC-TR-97-038: ---------------------------------------- Using Computational Learning Strategies as a Tool for Combinatorial Optimization by Andreas Birkendorf and Han Ulrich Simon, Universit"at Dortmund, Germany Abstract: In this paper, we describe how a basic strategy from computational learning theory can be used to attach a class of NP-hard combinatorial optimization problems. It turns out that the learning strategy can be used as an iterative booster: given a solution to the combinatorial problem, we will start an efficient simulation of a learning algorithm which as a ``good chance'' to output an improved solution. This boosting technique is a new and surprisingly simple application of an existing learning strategy. It yields a novel heuristic approach to attach NP-hard optimization problems. It does not apply to each combinatorial problem, but we are able to exactly formalize some sufficient conditions. The new technique applies, for instance, to the problems of minimizing a deterministic finite automaton relative to a given domain, the analogous problem for ordered binary decision diagrams, and to graph colouring. ---------------------------------------- NeuroCOLT Technical Report NC-TR-97-039: ---------------------------------------- A Unifying Framework for Invariant Pattern Recognition by Jeffrey Wood and John Shawe-Taylor, Royal Holloway, University of London, UK Abstract: We introduce a group-theoretic model of invariant pattern recognition, the {\em Group Representation Network}. We show that many standard invariance techniques can be viewed as GRNs, including the DFT power spectrum, higher order neural network and fast translation-invariant transform. -------------------------------------------------------------------- ***************** ACCESS INSTRUCTIONS ****************** The Report NC-TR-97-001 can be accessed and printed as follows % ftp ftp.dcs.rhbnc.ac.uk (134.219.96.1) Name: anonymous password: your full email address ftp> cd pub/neurocolt/tech_reports ftp> binary ftp> get nc-tr-97-001.ps.Z ftp> bye % zcat nc-tr-97-001.ps.Z | lpr -l Similarly for the other technical reports. Uncompressed versions of the postscript files have also been left for anyone not having an uncompress facility. In some cases there are two files available, for example, nc-tr-97-002-title.ps.Z nc-tr-97-002-body.ps.Z The first contains the title page while the second contains the body of the report. The single command, ftp> mget nc-tr-97-002* will prompt you for the files you require. A full list of the currently available Technical Reports in the Series is held in a file `abstracts' in the same directory. The files may also be accessed via WWW starting from the NeuroCOLT homepage: http://www.dcs.rhbnc.ac.uk/research/compint/neurocolt or directly to the archive: ftp://ftp.dcs.rhbnc.ac.uk/pub/neurocolt/tech_reports Best wishes John Shawe-Taylor From movellan@ergo.ucsd.edu Tue Apr 15 00:55:35 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 AAA16863 for ; Tue, 15 Apr 1997 00:55:28 -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 AAA01471 for ; Tue, 15 Apr 1997 00:55:27 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa02536; 14 Apr 97 18:24:03 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa02534; 14 Apr 97 18:11:22 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa23805; 14 Apr 97 18:10:54 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa16492; 14 Apr 97 17:16:51 EDT Received: from ergo.ucsd.edu by EDRC.CMU.EDU id aa01065; 14 Apr 97 17:16:07 EDT Received: (from movellan@localhost) by ergo.ucsd.edu (8.8.4/8.8.4) id OAA13893; Mon, 14 Apr 1997 14:08:45 -0700 Date: Mon, 14 Apr 1997 14:08:45 -0700 Message-Id: <199704142108.OAA13893@ergo.ucsd.edu> From: "Javier R. Movellan" To: talks@cogsci.ucsd.edu, connectionists@cs.cmu.edu Subject: TR announcement The following technical report is available online at http://cogsci.ucsd.edu (follow links to Tech Reports & Software ) Physical copies are also available (see the site for information). A Learning Theorem for Networks at Detailed Stochastic Equilibrium. Javier R. Movellan Department of Cognitive Science University of California San Diego The paper studies a stochastic extension of continuous recurrent neural networks and analyzes gradient descent learning rules to train their equilibrium solutions. A theorem is given that specifies sufficient conditions for the gradient descent learning rules to be local covariance statistics between two random variables: 1) an evaluator which is the same for all the network parameters, and 2) a system variable which is independent of the learning objective. The generality of the theorem suggests that instead of suppressing noise present in physical devices, a natural alternative is to use it to simplify the credit assignment problem. In deterministic networks credit assignment requires an evaluation signal which is different for each node in the network. Surprisingly, when noise is not suppressed, all is needed is an evaluator which is the same for the entire network, and a local Hebbian signal. This modularization of signals greatly simplifies hardware and software implementations. The paper shows how the theorem applies to four different learning objectives which span supervised, reinforcement and unsupervised problems: 1) regression, 2) density estimation, 3) risk minimization, 4) information maximization. Simulations, implementation issues and implications for computational neuroscience are discussed. From ajay_jain@metaxen.com Tue Apr 15 16:36:25 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 QAA23563 for ; Tue, 15 Apr 1997 16:36:17 -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 QAA12372 for ; Tue, 15 Apr 1997 16:36:16 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa00326; 15 Apr 97 1:11:38 EDT Received: from SKINNER.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa00323; 15 Apr 97 0:49:58 EDT Received: from skinner.boltz.cs.cmu.edu by skinner.boltz.cs.cmu.edu id aa27272; 15 Apr 97 0:49 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa20689; 14 Apr 97 21:29:04 EDT Received: from mail.metaxen.com by RI.CMU.EDU id aa05899; 14 Apr 97 21:27:30 EDT Received: from [192.168.100.152] (m131.metaxen.com [192.168.100.152]) by InterJet.metaxen.com (8.8.2/8.8.2) with SMTP id SAA02230 for ; Mon, 14 Apr 1997 18:22:15 -0700 (PDT) Message-Id: <199704150122.SAA02230@InterJet.metaxen.com> Subject: Position Available Date: Mon, 14 Apr 97 18:22:18 -0800 x-sender: ajain@interjet.metaxen.com x-mailer: Claris Emailer 2.0 x49, February 10, 1997 From: "Ajay N. Jain" To: Connectionists Mime-Version: 1.0 Content-Type: text/plain; charset="US-ASCII" [PLEASE FORWARD TO APPROPRIATE MAILING LISTS] Position: Scientist/Senior Scientist, Computational Sciences Requirements: PhD in Computer Science Company: MetaXen LLC (Palo Alto, CA) Hiring Manager: Ajay N. Jain MetaXen is a start-up biopharmaceutical company based in the San Francisco Bay Area. We emphasize an integrated parallel approach to drug discovery that seeks to optimize specific binding of small molecules to proteins simultaneously with pharmacological parameters such as oral absorption. We combine state-of-the art computational technology for structure-based drug design with medicinal chemistry, molecular biology, X-ray crystallography, biochemistry, molecular pharmacology, and related fields in a stimulating multidisciplinary environment. Our current therapeutic research areas include cancer and thrombotic disease. We are looking for a computer scientist to join our growing group. The ideal candidate will have demonstrated success in applying sophisticated computation to real-world problems (e.g. drug discovery, object recognition, robotics, etc...). Experience in machine-learning/neural networks, computational geometry, or physical modeling would be considered beneficial, as would formal training in chemistry, biology, or physics. The duties for the position are to develop, implement, and apply novel algorithms for structure-based drug design (e.g. molecular docking, 3D structure-activity prediction, etc...), genomic data analysis, and prediciton of in vivo pharmacological parameters from in vitro pharmacology data as well as molecular structure. Qualified applicants should send a CV and cover letter to the address below. Ajay -------------------------------------------------------------------------- Dr. Ajay N. Jain: Principal Scientist/Group Leader, Computational Sciences Tel (415) 858-4942 MetaXen LLC Fax (415) 858-4931 3181 Porter Dr Email: ajay_jain@metaxen.com Palo Alto, CA 94304 -------------------------------------------------------------------------- From E.Heit@csv.warwick.ac.uk Tue Apr 15 16:36:27 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 QAA23568 for ; Tue, 15 Apr 1997 16:36:22 -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 QAA12376 for ; Tue, 15 Apr 1997 16:36:19 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab01437; 15 Apr 97 11:35:21 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab01435; 15 Apr 97 11:21:08 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa24459; 15 Apr 97 11:20:08 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa00268; 15 Apr 97 7:41:29 EDT Received: from pansy.csv.warwick.ac.uk by EDRC.CMU.EDU id aa04811; 15 Apr 97 7:41:00 EDT Received: from [137.205.141.28] by pansy.csv.warwick.ac.uk with ESMTP id MAA14274; Tue, 15 Apr 1997 12:28:15 +0100 (BST) Message-Id: Mime-Version: 1.0 Content-Type: text/plain; charset="us-ascii" Date: Tue, 15 Apr 1997 12:28:14 +0100 To: cogpsy@cogsci.soton.ac.uk, NEURON-UK@mailbase.ac.uk, connectionists@cs.cmu.edu From: Evan Heit Subject: PhD Studentship In Cognitive Science (UK) Department of Psychology University of Warwick Coventry, United Kingdom The growing Cognitive Science group at Warwick has available a three-year BBSRC Special Studentship, to commence October 1997, leading to a PhD in Psychology. The general topic is applications of neural network modelling to experimental psychology results in learning, categorisation, and memory. Applicants should have or expect a first degree or MSc in a field such as Psychology, Cognitive Science, or Computer Science, and some experience in experimental psychology or computer modelling (but not necessarily both). The Research Committee Special Studentship is intended primarily for UK residents, and it attracts a higher level of stipend than other Research Council studentships. Further details are available at http://www.warwick.ac.uk/~pssak/st.html . Apply by sending a CV, names of two referees, and a statement of research interests and experience to Dr E Heit, Department of Psychology, University of Warwick, Coventry CV4 7AL, or E.Heit@warwick.ac.uk . Please direct informal enquiries to these same addresses. Closing date 9 May 1997. ------------------------------------------------------------------------- Evan Heit Email: E.Heit@warwick.ac.uk Department of Psychology Office: +44|0 1203 523183 University of Warwick Fax: +44|0 1203 524225 Coventry CV4 7AL, United Kingdom http://www.warwick.ac.uk/~pssak From tho@nucleus.hut.fi Tue Apr 15 16:36:39 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 QAA23566 for ; Tue, 15 Apr 1997 16:36:20 -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 QAA12374 for ; Tue, 15 Apr 1997 16:36:17 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa01437; 15 Apr 97 11:33:49 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa01435; 15 Apr 97 11:21:00 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa24454; 15 Apr 97 11:19:52 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa29643; 15 Apr 97 7:01:56 EDT Received: from santra.hut.fi by RI.CMU.EDU id aa08163; 15 Apr 97 7:01:51 EDT Received: from nucleus.hut.fi (nucleus.hut.fi [130.233.173.9]) by santra.hut.fi (8.8.5/8.8.2z) with SMTP id OAA25204; Tue, 15 Apr 1997 14:01:04 +0300 (EET DST) Received: from localhost by nucleus.hut.fi via SMTP (951211.SGI.8.6.12.PATCH1502/940406.SGI) id OAA18758; Tue, 15 Apr 1997 14:00:52 +0300 Date: Tue, 15 Apr 1997 14:00:52 +0300 (EET DST) From: Timo Honkela Reply-To: Timo.Honkela@hut.fi To: NEURON@CATTELL.PSYCH.UPENN.EDU, IR-LIST%IRLEARN.BITNET@VM1.NODAK.EDU, NEURON-UK@mailbase.ac.uk, CYBSYS-L@bingvmb.cc.binghamton.edu, NL-KR@CS.RPI.EDU, corpora@hd.uib.no, connectionists@cs.cmu.edu, kdd@gte.com, cogpsy@cogsci.soton.ac.uk, linguist@tamvm1.tamu.edu, ai-stats@watstat.uwaterloo.ca, news-announce-conferences@uunet.uu.net, ml@ics.uci.edu, mlnet@swi.psy.uva.nl, comp-finance@teleport.com, comp-ai@ucbvax.berkeley.edu, comp-finance@teleport.com, comp-ai@ucbvax.berkeley.edu, cogpsy@phil.ruu.nl, comp-neuro@bbb.caltech.edu Subject: WSOM'97 Call For Participation Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII ================== CALL FOR PARTICIPATION ======================= 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 ------------------------- WWW: -------------------------- http://nucleus.hut.fi/wsom97/ ----------------------------------------------------------------- WSOM'97 is the first international meeting to be entirely dedicated to the theory and applications of the Self-Organizing Map (SOM). The SOM is a new powerful software tool for hard real-world problems listed below. Highlights of the program: - TUTORIAL SHORT COURSE: prof. Teuvo Kohonen - PLENARIES: prof. Helge Ritter: Learning with the parameterized self-organizing map prof. Karl Goser: Self-organizing map for intelligent process control prof. Marie Cottrell: Theoretical aspects of the SOM algorithm - INVITED: prof. Risto Miikkulainen: SOM research in the USA prof. Heizo Tokutaka: Condensed review of SOM and LVQ research in Japan - SESSIONS: Pattern recognition and Optimization signal processing Monitoring and data mining Financial analysis Temporal sequence processing Image analysis and vision Theory and extensions Probabilistic interpretations Text and document maps Hardware - PANEL: Document search - SOM CLINIC: Practical advice is given during the breaks - BANQUET: Dinner speech by Robert Hecht-Nielsen: A neural network saga - DEMONSTRATIONS WSOM'97 is a unique occasion for anyone who - is looking for efficient means for analyzing and visualizing complex real-world data, or - wishes to gain new insight into the newest applications of the SOM. REGISTRATION General registration fee is FIM 1200 for the workshop and FIM 700 for the tutorial. Reduced registration fees are available for students as well as for early registration before May 1. Please see http://nucleus.hut.fi/wsom97/ for the program. On the page there is also information on the registration, accomodation, travel, and other practical arrangements. For further information, please contact wsom97@nucleus.hut.fi CO-OPERATING SOCIETIES WSOM'97 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'97 Chairman Erkki Oja, Program Chairman Olli Simula, Organization Chairman From philh@cogs.susx.ac.uk Wed Apr 16 02:35:29 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 CAA27911 for ; Wed, 16 Apr 1997 02:35:24 -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 CAA20946 for ; Wed, 16 Apr 1997 02:35:22 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa01755; 15 Apr 97 15:01:49 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa01753; 15 Apr 97 14:46:14 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa24535; 15 Apr 97 14:45:31 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id am04223; 15 Apr 97 12:07:34 EDT Received: from [192.33.16.209] by CS.CMU.EDU id aa11566; 15 Apr 97 12:06:25 EDT Received: by csrd.crn.cogs.susx.ac.uk (Smail3.1.29.1 #3) id m0wHAjJ-00002QC; Tue, 15 Apr 97 17:05 BST Message-Id: Subject: Lectureship at Sussex University To: connectionists@cs.cmu.edu Date: Tue, 15 Apr 1997 17:05:13 +0100 (BST) From: Phil Husbands MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit -------------------------------------------------------------- University of Sussex SCHOOL OF COGNITIVE AND COMPUTING SCIENCES Computer Science and Artificial Intelligence - 2 lectureships Applications are invited for two Lectureships in the Computer Science and Artificial Intelligence Subject Group with an expected start date of October 1997. Candidates for the first lectureship should be able to show evidence of significant research achievement in any aspect of the Foundations of Computation. Candidates for the second lectureship should be undertaking innovatory research in some aspect of Vision, Neural Computation or Evolutionary and Adaptive Systems. All candidates should be willing to teach in areas other than their research speciality. The appointments are planned on the Lecturer A scale, for which salaries run from 15,593 to 20,424 p.a. (under negotiation), though for exceptional candidates an appointment on the Lecturer B scale may be considered (21,277 to 27,196, under negotiation). The posts can be discussed informally with Dr Hilary Buxton, hilaryb@cogs.susx.ac.uk, tel. 01273 678569. Details of the School are available at http://www.cogs.susx.ac.uk/ Application forms and further particulars are available from and should be returned to Sandra Jenks, Staffing Services, University of Sussex, Falmer, Brighton, East Sussex, BN1 9RH. Tel: (01273) 606755, ext 3768. Email S.Jenks@sussex.ac.uk. Closing date: Monday 21st April 1997. -------------------------------------------------------------- From juergen@idsia.ch Wed Apr 16 05:00:30 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 FAA28545 for ; Wed, 16 Apr 1997 05:00:20 -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 FAA22161 for ; Wed, 16 Apr 1997 05:00:17 -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 PAA01531; Wed, 16 Apr 1997 15:45:28 +0800 Message-Id: <199704160745.PAA01531@cs.uwa.oz.au> From: juergen@idsia.ch (Juergen Schmidhuber) To: reinforce@cs.uwa.oz.au Subject: Job openings Date: Wed, 16 Apr 1997 09:31:33 +0200 1 POSTDOC POSITION 1 PHD STUDENT POSITION RECURRENT NEURAL NETS The Swiss machine learning research institute IDSIA offers 2-year positions for one postdoc and one PhD student. Both will be funded by a research grant on recurrent neural networks. Intended application areas include speech recognition and music composition. The grant's initial focus will be on "Long Short-Term Memory" (LSTM) - see reference below. Ideal candidates should fully understand the LSTM paper, have strong mathematical and programming skills, outstanding research potential, experience with neural nets, excellent ability to communicate research results, and be willing to build on previous work. BEGIN: around October 1997. SWITZERLAND tends to be nice to scientists. It boasts the highest super- computing capacity pc (per capita), the most Nobel prizes pc (4-5 times the US value), the highest GNP pc, and the best chocolate. IDSIA's research focuses on artificial neural nets, reinforcement learning in partially observable environments, MDL, complexity and generalization issues, unsupervised learning and information theory, forecasting, combinatorial optimization, evolutionary computation, and metalearning. IDSIA is small but visible, competitive, and influential. It employs about a dozen active researchers and supervises students at several European universities. Its 1997 scientific output so far includes 9 journal publications (published or in press). LOCATION: beautiful Lugano, the capital of Ticino, the scenic southernmost province of Switzerland (pictures in my home page). Milano, Italy's center of fashion and finance, is 1 hour away, Venice 3 hours. CSCS, the Ticino supercomputing center, is nearby - we have a direct connection. SALARY: commensurate with experience. Postdoc: SFR 60-70K/year (US$ 41-48K). PhD student: SFR 25-30K. Subtract ~20% for taxes & social security. There is travel funding in case of papers accepted at important conferences. INSTRUCTIONS: please send HARDCOPIES (no email!) of CV, list of publications, cover letter, and your 3 best papers (if applicable) to Juergen Schmidhuber, IDSIA, Corso Elvezia 36, 6900-Lugano, Switzerland. Also send a brief email message listing email addresses of three references to juergen@idsia.ch. Please use your full name as subject header. EXAMPLE: subject: John_Smith DEADLINE: MAY 31 1997. Earlier applications preferred. RECURRENT NET REFS (more in http://www.idsia.ch/~juergen/onlinepub.html) -S.Hochreiter & JS: Long Short-Term Memory. Neural Comp. (accepted 1997) See ftp://ftp.idsia.ch/pub/juergen/lstm.ps.gz -JS: A fixed size storage O(n^3) time complexity learning algorithm for fully recurrent continually running nets. Neural Comp.4(2):243-248,1992. -JS: Learning complex, extended sequences using the principle of history compression. Neural Comp.4(2):234-242,1992. -JS: Learning to control fast-weight memories: An alternative to recurrent nets. Neural Comp.4(1):131-139,1992. Juergen Schmidhuber, research director, IDSIA juergen@idsia.ch http://www.idsia.ch/~juergen From isciscfp@mercan.cmpe.boun.edu.tr Wed Apr 16 22:32:23 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 WAA09700 for ; Wed, 16 Apr 1997 22:32:17 -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 WAA09263 for ; Wed, 16 Apr 1997 22:32:11 -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 KAA12935; Thu, 17 Apr 1997 10:19:55 +0800 Message-Id: <199704170219.KAA12935@cs.uwa.oz.au> From: ISCIS XII To: reinforce@cs.uwa.edu.au Subject: ISCIS XII Second Call for Papers Date: Wed, 16 Apr 1997 19:34:12 +0300 SECOND CALL FOR PAPERS ISCIS XII THE TWELFTH INTERNATIONAL SYMPOSIUM ON COMPUTER AND INFORMATION SCIENCES October 27-29, 1997, Antalya, Turkey Organized by Bogazici University, Istanbul,Turkey Conference Chair Selahattin Kuru, Turkey Honorary Chair Erol Gelenbe, USA Program Committee H. Levent Akin (Co-Chair), Turkey , M. Ufuk Caglayan (Co-Chair), Turkey, L. Akarun, Turkey, V. Akman, Turkey, E. Alpaydin, Turkey, K. Altinel,Turkey, E. Arkun,Turkey, I. Aybay, Turkey, Z. Bayram, Turkey, S.Bilgen, Turkey, B. R. Bryant, USA, A. Dogac,Turkey, J. Eder, Austria, C.Ersoy, Turkey, S.Fdida, France, J. M. Fourneau, France, D. Garlan, USA, C. Ghezzi, Italy, M. Gokmen, Turkey , L.Grandinetti, Italy , T. Gundem, Turkey, A. Guvenir, Turkey, U. Halici,Turkey, E. Harmanci, Turkey, F. Hoffman, Germany, K. Inan, Turkey, B. Maglaris , Greece, S. Neftci, Turkey, M. Nivat, France, S. Oktug, Turkey, R. Onvural, USA, B. Orencik, Turkey, C.Ozturan, Turkey, V. Paschos,France, J. F. Perrot, France, P. Quinton, France, M. Raynal, France, E. Rosti, Italy, A.C.C. Say, Turkey, G. Serazzi, Italy, J. Sole-Pareta, Spain, K. Sloan, USA, R. Smeliansky, Russia, A. Stafylopatis, Greece, M. Tayli, Turkey, H. Tijms, Netherlands, O. Tosun, Turkey, F. Yarman-Vural, Turkey, N. Yalabik, Turkey, N. Yucel, Turkey Local Organizing Committee Duygu Arbatli, Turkey, A. Taylan Cemgil, Turkey, Albert Levi, Turkey , Mete Yilmaz, Turkey Advisory Board M. Baray, Turkey, S. Eren, Turkey, E. Gelenbe, USA, E. Harmanci, Turkey, Y. Karsligil, Turkey, S. Kuru, Turkey, E. Ozkarahan, Turkey, F. Yarman-Vural, Turkey, U. Yarimagan, Turkey -------------------------------------------------------------------- ISCIS XII is the twelfth of a series of meetings that have brought together computer scientists and engineers from many countries. This year's conference will again be held in a resort hotel in the beautiful Mediterranean city of Antalya, in a region rich in natural as well as archeological, architectural and historical sites. During the symposium, there will be invited speeches and special sessions on different aspects of high speed computer networks, software engineering and artificial intelligence. ---------------------------------------------------------------------- TOPICS OF INTEREST * Computer Networks * Parallel Processing and Parallel Algorithms * Theoretical Computer Science * Computer Architecture and Systems * Artificial Intelligence * Neural Networks * Computer Graphics * Image Processing and Pattern Recognition * Real Time Computing * Performance Evaluation * Software Engineering * Databases * Programming Languages * Distributed Systems * Formal Methods * Computer Vision * Computational Mathematics * Information Retrieval ---------------------------------------------------------------------- PAPER SUBMISSION Please submit four copies (one original and three copies) of the full paper (in English) limited to 8 pages to the below address. Electronic submission of papers is encouraged. Papers in Postscript or Word for Windows formats are welcome. ISCIS XII Department of Computer Engineering Bogazici University Bebek, Istanbul, 80815 Turkey Tel: +90 (212) 263 1540 ext. 1323 Fax: +90 (212) 287 2461 email: iscis@www.cmpe.boun.edu.tr http://www.cmpe.boun.edu.tr/iscis.html anonymous ftp: www.cmpe.boun.edu.tr/iscis Paper Format on A4 or letter size paper with single space, single column, one inch margins on all four sides. The first page should have a two inch margin at the top. Centered at the top of the first page should be the complete title of the paper, author(s), affiliation(s), mailing and e-mail address(es), then the abstract, not exceeding 15 lines, followed by the text. In an accompanying letter, the following should be included: full title of the paper, author name(s), mailing address(es), telephone and fax. numbers and e-mail address(es) of the author(s) indicating the presenter and technical session names (lst and 2nd choices) to be selected from the list of topics given above. Accepted papers will be published in the symposium proceedings. The symposium welcomes proposals for invited sessions. Important Dates : * Papers Due : May 1, 1997 * Notification of Acceptance : July 15, 1997 * Camera Ready Papers : August 15, 1997 ---------------------------------------------- LOCAL ATTRACTIONS The city of Antalya was founded during the 2nd century BC by Attalus II, the king of Pergamon, who named the city Attaleia after himself. The Romans and Seljuks occupied the city before it came under Ottoman rule. In every part of the city, the marks of these historical periods can be observed. The Kaleigi section of Antalya is one of the most interesting parts of the city with its ancient Seljuk and Ottoman mosques. Antalya further broadens its reputation with the nearby ancient city Perge and Aspendos theatre. Perge, 18 km from Antalya, is one of the best preserved cities of ancient Pamphylia. Aspendos is 46 km from Antalya. The galleries, stage decorations and the acoustics in the theater all reflect the success of architecture. Side is an ancient harbor with its magnificent ancient theater near the agora, and the creamy white columns of the Apollo Temple make striking contrast against the blue sea. Waterfalls, beaches and national parks are places where nature displays her beauty in Antalya. There are also many excellent shopping opportunities, including folk art items, handicrafts, museum reproductions, leather goods and carpets. ----------------------------- TRANSPORTATION There are two main alternatives for travelling to Antalya. The first one is a direct flight from a major European location to Antalya airport. Turkish Airlines have direct flights from many European cities to Antalya. The second alternative is to fly to Istanbul and then take a domestic flight to Antalya. For flight schedules please check with a travel agency. From juergen@idsia.ch Thu Apr 17 19:12:27 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 TAA00649 for ; Thu, 17 Apr 1997 19:12:22 -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 TAA26911 for ; Thu, 17 Apr 1997 19:12:20 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa05353; 17 Apr 97 18:59:17 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05349; 17 Apr 97 18:32:30 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26264; 17 Apr 97 18:32:00 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa21861; 16 Apr 97 3:35:44 EDT Received: from ns.idsia.ch by CS.CMU.EDU id aa20898; 16 Apr 97 3:34:57 EDT Received: from ruebe.idsia.ch by fava.idsia.ch (4.1/SMI-4.1) id AA00503; Wed, 16 Apr 97 09:34:17 +0200 Received: by ruebe.idsia.ch (SMI-8.6/SMI-SVR4) id JAA13718; Wed, 16 Apr 1997 09:27:54 +0200 Date: Wed, 16 Apr 1997 09:27:54 +0200 From: Juergen Schmidhuber Message-Id: <199704160727.JAA13718@ruebe.idsia.ch> To: connectionists@cs.cmu.edu Subject: Job openings 1 POSTDOC POSITION 1 PHD STUDENT POSITION RECURRENT NEURAL NETS The Swiss machine learning research institute IDSIA offers 2-year positions for one postdoc and one PhD student. Both will be funded by a research grant on recurrent neural networks. Intended application areas include speech recognition and music composition. The grant's initial focus will be on "Long Short-Term Memory" (LSTM) - see reference below. Ideal candidates should fully understand the LSTM paper, have strong mathematical and programming skills, outstanding research potential, experience with neural nets, excellent ability to communicate research results, and be willing to build on previous work. BEGIN: around October 1997. SWITZERLAND tends to be nice to scientists. It boasts the highest super- computing capacity pc (per capita), the most Nobel prizes pc (4-5 times the US value), the highest GNP pc, and the best chocolate. IDSIA's research focuses on artificial neural nets, reinforcement learning in partially observable environments, MDL, complexity and generalization issues, unsupervised learning and information theory, forecasting, combinatorial optimization, evolutionary computation, and metalearning. IDSIA is small but visible, competitive, and influential. It employs about a dozen active researchers and supervises students at several European universities. Its 1997 scientific output so far includes 9 journal publications (published or in press). LOCATION: beautiful Lugano, the capital of Ticino, the scenic southernmost province of Switzerland (pictures in my home page). Milano, Italy's center of fashion and finance, is 1 hour away, Venice 3 hours. CSCS, the Ticino supercomputing center, is nearby - we have a direct connection. SALARY: commensurate with experience. Postdoc: SFR 60-70K/year (US$ 41-48K). PhD student: SFR 25-30K. Subtract ~20% for taxes & social security. There is travel funding in case of papers accepted at important conferences. INSTRUCTIONS: please send HARDCOPIES (no email!) of CV, list of publications, cover letter, and your 3 best papers (if applicable) to Juergen Schmidhuber, IDSIA, Corso Elvezia 36, 6900-Lugano, Switzerland. Also send a brief email message listing email addresses of three references to juergen@idsia.ch. Please use your full name as subject header. EXAMPLE: subject: John_Smith DEADLINE: MAY 31 1997. Earlier applications preferred. RECURRENT NET REFS (more in http://www.idsia.ch/~juergen/onlinepub.html) -S.Hochreiter & JS: Long Short-Term Memory. Neural Comp. (accepted 1997) See ftp://ftp.idsia.ch/pub/juergen/lstm.ps.gz -JS: A fixed size storage O(n^3) time complexity learning algorithm for fully recurrent continually running nets. Neural Comp.4(2):243-248,1992. -JS: Learning complex, extended sequences using the principle of history compression. Neural Comp.4(2):234-242,1992. -JS: Learning to control fast-weight memories: An alternative to recurrent nets. Neural Comp.4(1):131-139,1992. Juergen Schmidhuber, research director, IDSIA juergen@idsia.ch http://www.idsia.ch/~juergen From kpfleger@cs.stanford.edu Thu Apr 17 22:09:29 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 WAA00984 for ; Thu, 17 Apr 1997 22:09:17 -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 WAA29327 for ; Thu, 17 Apr 1997 22:09:16 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa05484; 17 Apr 97 20:45:11 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05482; 17 Apr 97 20:32:06 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26305; 17 Apr 97 20:31:28 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa23456; 16 Apr 97 5:50:33 EDT Received: from HPP.Stanford.EDU by RI.CMU.EDU id aa16054; 16 Apr 97 5:49:52 EDT Received: (from kpfleger@localhost) by HPP.Stanford.EDU (8.8.5/8.7.1) id CAA10184 for connectionists@cs.cmu.edu; Wed, 16 Apr 1997 02:49:49 -0700 (PDT) Message-Id: <199704160949.CAA10184@HPP.Stanford.EDU> Subject: NIPS*97 workshop on NNs related to graphical models? To: connectionists@cs.cmu.edu Date: Wed, 16 Apr 1997 02:49:49 -0700 (PDT) From: Karl Pfleger Reply-To: Karl Pfleger X-Mailer: ELM [version 2.4 PL25] MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Would you like to see a NIPS*97 workshop on "Neural Network Models Related to Graphical Probabilistic Models"? Michael Jordan recently sent out the NIPS*97 Call for Post Conference Workshop Proposals. I don't feel qualified to organize and run a workshop on this topic myself, but I believe it is a topic of great interest to many people. Thus, I'm suggseting it here in the hopes that someone who is qualified might be inspired to organize such a workshop and draw up a proposal. If you would be interested only in attending or participating in such a workshop, send me a quick note anyway (or even an abstract of a potential submission) and I'll collect the responses to pass on to anyone who does volunteer to organize. Evidently, Mike Jordan and David Heckerman held a similar and extremely popular workshop 2 years ago at NIPS. However, opnions from a number of people, including Jordan, suggest that there is probably still sufficient interest for another such workshop. ---------------------------------------------------------------------------- NIPS Workshop idea: Neural Network Models Related to Graphical Probabilistic Models Graphical probabilistic models are currently a hot topic, especially Bayesian/Belief Networks, particularly in the AI communities. But there are neural network models that are intimiately related to some of these models, and can be used in similar ways. For example, Boltzmann machines are essentially neural-net versions of Markov Networks, with properties closely related to probabilistically explicit Markov Networks and to Bayes nets. Extended example--Some parallels between BMs and BNs: - Both represent a joint prob. distribution over a set of random variables. - In both network structure represents conditional independence assumptions amongst the variables, whether by d-separation or locally Markov properties. Based on Pearl (1988) neither is uniformly superior. - In both, exact prob. inference is possible but intractable, in general. - In both one can do Monte Carlo approx. inference. In both one can use Gibbs sampling, and this is exactly what BM settling corresponds to. - Both can be used to learn a joint distribution over visible units. - Both can use hidden variables. - In both you can do search over network structure to learn that as well, though this is almost completely unexplored for BMs. - Both can represent any joint distribution (the BM may need hidden units). - There are even mechanisms for converting from one to the other. There isn't much literature that draws this parallel clearly. Neal (1991a) comes closest. Probabilistically explicit Markov Network models are used in vision and graphics, and also in physics communities, and also share the above properties. There are certainly many other such parallels. Particularly salient are those involving variations on BMs and BNs, as investigated by people like Radford Neal. Integrative views like this help increase everyone's understanding. (Obviously, the workshop is not meant to be a battleground for the formalisms!) There are also plenty of research issues here and plenty of suggestions that arise from understanding the parallels. ---------------------------------------------------------------------------- -Karl ---------------------------------------------------------------------------- Karl Pfleger kpfleger@cs.stanford.edu http://www.stanford.edu/~kpfleger/ ---------------------------------------------------------------------------- From weaveraj@helios.aston.ac.uk Thu Apr 17 22:09:31 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 WAA00986 for ; Thu, 17 Apr 1997 22:09:19 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.7.6/8.7.3) with SMTP id WAA29329 for ; Thu, 17 Apr 1997 22:09:17 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab05484; 17 Apr 97 20:47:02 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab05482; 17 Apr 97 20:32:11 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26310; 17 Apr 97 20:31:48 EDT Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa28051; 16 Apr 97 10:40:03 EDT Received: from [134.151.79.13] by CS.CMU.EDU id aa23389; 16 Apr 97 10:39:23 EDT Received: from sun.aston.ac.uk (actually host turing.aston.ac.uk) by email.aston.ac.uk with SMTP (PP); Wed, 16 Apr 1997 15:38:42 +0100 Message-Id: <15738.199704161437@sun.aston.ac.uk> To: Connectionists@cs.cmu.edu Subject: Postdoctoral Research Fellowship X-Mailer: Mew version 1.54 on Emacs 19.34.4 Mime-Version: 1.0 Content-Type: Text/Plain; charset=us-ascii Content-Transfer-Encoding: 7bit Date: Wed, 16 Apr 1997 15:37:21 +0100 From: Andrew Weaver Neural Computing Research Group ------------------------------- Dept of Computer Science and Applied Mathematics Aston University, Birmingham, UK POSTDOCTORAL RESEARCH FELLOWSHIP -------------------------------- Learning Fixed Example Sets in Multilayer Neural Networks --------------------------------------------------------- *** Full details at http://www.ncrg.aston.ac.uk/ *** The Neural Computing Research Group at Aston is looking for a highly motivated individual for a 2 year postdoctoral research position in the area of `Learning Fixed Example Sets in Multilayer Neural Networks'. The emphasis of the research will be on applying a theoretically well-founded approach based on methods adopted from statistical mechanics to analyse learning from fixed example sets in multilayer networks. Potential candidates should have strong mathematical and computational skills, with a background in statistical mechanics and neural networks. Conditions of Service --------------------- Salaries will be up to point 6 on the RA 1A scale, currently 16,450 UK pounds. The salary scale is subject to annual increments. How to Apply ------------ If you wish to be considered for this Fellowship, please send a full CV and publications list, including full details and grades of academic qualifications, together with the names of 3 referees, to: Dr. David Saad Neural Computing Research Group Dept. of Computer Science and Applied Mathematics Aston University Birmingham B4 7ET, U.K. Tel: 0121 333 4631 Fax: 0121 333 6215 e-mail: D.Saad@aston.ac.uk e-mail submission of postscript files is welcome. Closing date: 30 May, 1997. From mpolycar@ececs.uc.edu Thu Apr 17 22:09:32 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 WAA00988 for ; Thu, 17 Apr 1997 22:09:20 -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 WAA29331 for ; Thu, 17 Apr 1997 22:09:18 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab05543; 17 Apr 97 21:00:24 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05493; 17 Apr 97 20:36:16 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26334; 17 Apr 97 20:35:41 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa21014; 17 Apr 97 17:12:45 EDT Received: from ececs.uc.edu by RI.CMU.EDU id aa28869; 17 Apr 97 17:10:51 EDT Received: from zoe.ece.uc.edu (mpolycar@zoe.ece.uc.edu [129.137.8.203]) by babbage.ece.uc.edu (8.8.3/8.8.5) with ESMTP id RAA18898; Thu, 17 Apr 1997 17:10:44 -0400 (EDT) From: Marios Polycarpou Received: (mpolycar@localhost) by zoe.ece.uc.edu (8.6.9/8.6.4) id RAA07239; Thu, 17 Apr 1997 17:10:43 -0400 Message-Id: <199704172110.RAA07239@zoe.ece.uc.edu> Subject: Interdisciplinary Ph.D. Fellowships To: Connectionists@cs.cmu.edu Date: Thu, 17 Apr 1997 17:10:42 -0400 (EDT) Cc: jim uber , marios polycarpou X-Mailer: ELM [version 2.4 PL25] MIME-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit REAL-TIME SPATIALLY-DISTRIBUTED DISINFECTANT CONTROL IN WATER DISTRIBUTION NETWORKS USING NEURAL NETWORKS The University of Cincinnati Earth System Science Program announces the availability of several Ph.D. graduate student fellowships, beginning Fall 1997. These Ph.D. fellowships are funded by the National Science Foundation. Each fellow will receive a full tuition scholarship and a monthly stipend ($1450/month for 12 months), plus funds for research supplies, travel to meetings, and support of a summer sabbatical at an off-campus location. Due to financial support requirements, all fellows must be either U.S. citizens or permanent residents. While the scope of research topics is broad and flexible, we are specifically seeking one or more individuals with an interest in studying spatially distributed real-time control of disinfectant residual in water distribution systems. The question we wish to answer is stated quite simply: How best to control the spatio-temporal distribution of disinfectant residual within a water distribution network? The actual problem is not simple, however, due to complex system dynamics and chemical kinetics. The looped distribution network (i.e., it is not a spanning tree) is a multiple-input multiple-output, spatially extended dynamic system with significant time delays. The network hydraulics, which govern disinfectant transport on a system scale, are driven by external consumer loads and time varying pump operations, and it is typical that network flows will change dramatically and frequently, both in magnitude and direction. Coupled with these dynamics are complex disinfectant kinetics that depend on the pipe material at a physical location, the water source(s), and the type of disinfectant addition at the source(s) (multiple disinfectants are sometimes used). Further, the reactions with chlorine (the most common disinfectant) produce byproducts that evidence suggests are carcinogenic. This evidence has led to tightening lower and upper limits on acceptable chlorine concentrations within the network, and thus to a real need for more advanced control approaches and for a better understanding of disinfectant decay kinetics. Our plans for this work include the development and adaptation of control-theoretic approaches, including neural network methodologies, for real-time spatially-distributed control of multiple simultaneous disinfectant additions. Activities that fall within the project scope include: 1) development of appropriate modeling and simulation methods, 2) consideration of system robustness in the face of uncertain fluctuations in water demands, and 3) optimal location of disinfectant additions to minimize control effort. Applications are encouraged from individuals in any branch of engineering or the physical sciences; applicants should demonstrate a high degree of creativity along with strong quantitative and programming skills, and are expected to interact with chemists, electrical and environmental engineers, and utility personnel participating on the research team. For more information including application materials, contact Prof. Jim Uber (Environ. Hydrology, 513-556-3643, Jim.Uber@uc.edu) or Prof. Marios Polycarpou (Elec. & Comp. Eng. & Comp. Sci., 513-556-4763, Marios.Polycarpou@uc.edu). ************************************************************************** * Prof. Marios M. Polycarpou | TEL: (513) 556-4763 * * University of Cincinnati | FAX: (513) 556-7326 * * Dept. Electrical & Computer Engineering | * * Cincinnati, Ohio 45221-0030 | Email: polycarpou@uc.edu * ************************************************************************** From HECKATHO@B.PSC.EDU Thu Apr 17 22:09:34 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 WAA00991 for ; Thu, 17 Apr 1997 22:09:22 -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 WAA29333 for ; Thu, 17 Apr 1997 22:09:19 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ac05543; 17 Apr 97 21:01:25 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05502; 17 Apr 97 20:37:53 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26349; 17 Apr 97 20:36:51 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa18015; 17 Apr 97 13:53:15 EDT Received: from b.psc.edu by EDRC.CMU.EDU id aa05105; 17 Apr 97 13:52:29 EDT Date: Thu, 17 Apr 1997 13:52:23 -0400 From: HECKATHO@B.PSC.EDU To: cneuro@bbb.caltech.edu CC: connectionists@cs.cmu.edu, bnews@bbb.caltech.edu, neuron@nnc.yale.edu Message-Id: <970417135223.20408978@B.PSC.EDU> Subject: Neural Workshop Announcement Simulations in Computational Neuroscience June 11-14, 1997 Pittsburgh Supercomputing Center Pittsburgh, PA Participants in this workshop will learn to use PGENESIS, a parallel version of the GENESIS simulator, and PNEURON (under development), a parallel version of the NEURON simulator. This course will be of interest to active modelers who perceive the need for large simulations which are beyond the effective capabilities of single-cpu workstations. Both PGENESIS and PNEURON are suitable for large scale parallel search of parameter space for single neuron and neuronal network models. PGENESIS is also suitable for parallel simulation of very large network models. Both of these packages run on single workstations, workstation networks, small-scale parallel computers and large massively parallel supercomputers, providing a natural scale-up path. For large simulations NSF funds four supercomputing centers for the use of US-based computational scientists. Familiarity with the non-parallel version of GENESIS or NEURON is preferred but not required. Techniques for parallel search of parameter space and for decomposition of network models will be two foci of the workshop. Participants are encouraged to bring their models to the workshop. Each participant is provided with an SGI Irix workstation and accounts on PSCs advanced computing resources including our 512-node Cray T3E. Each day lectures will be followed by hands-on computing sessions at which experienced instructors will be available to assist in using PGENESIS and PNEURON, and optimizing models. Hotel accommodations during the workshop for researchers affiliated with U.S. academic institutions will be paid by our NIH grant. Complimentary breakfast and lunches also will be provided. There is no registration fee for this workshop. All other costs incurred in attending (travel, other meals, etc.) are the responsibility of the individual participant. The deadline for submitting applications is May 3, 1997. Enrollment is limited to 20 participants. Further information and application materials can be found at: http://www.psc.edu/biomed/workshops/wk-97/neural.html Support for this workshop is from NIH under the NCRR program and from NSF under the Computational Activities in Biology program. From robtag@dia.unisa.it Fri Apr 18 23:27:45 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 XAA02620 for ; Fri, 18 Apr 1997 23:27:36 -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 XAA19278 for ; Fri, 18 Apr 1997 23:27:35 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa05543; 17 Apr 97 20:58:40 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05486; 17 Apr 97 20:33:03 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26319; 17 Apr 97 20:32:13 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa11288; 17 Apr 97 6:05:19 EDT Received: from topmgr.unisa.it by EDRC.CMU.EDU id aa02443; 17 Apr 97 6:04:24 EDT Received: by udsab.dia.unisa.it; (5.65v3.2/1.1.8.2/24Jun96-1229PM) id AA20706; Thu, 17 Apr 1997 12:02:37 +0200 Date: Thu, 17 Apr 1997 12:02:37 +0200 From: Tagliaferri Roberto Message-Id: <9704171002.AA20706@udsab.dia.unisa.it> To: Connectionists@cs.cmu.edu Subject: WIRN Vietri 97 Preliminary Program WIRN VIETRI `97 IX ITALIAN WORKSHOP ON NEURAL NETS IIASS "Eduardo R. Caianiello", Vietri sul Mare (SA) ITALY 22 - 24 May 1997 PRELIMINARY PROGRAM Thursday 22 May 9:30 - Artificial Neural Networks in Pharmacology and Therapeutics M. Eandi & M. Costa (Review Talk) Applications 10:30 - Are Hybrid Fuzzy-Neural Systems Actually Useful in plasma Engineering? F.C. Morabito & M. Campolo 10:50 - The GTM as Predictor of Risk in Pregnancy B. Rosario, D.R. Lovell, M. Naranjan, R.W. Prager & K.J. Dalton 11:10 - An Application of the Bootstrap 632+ Rule to Ecological data C. Furlanello, S. Merler, C. Chemini & A. Rizzoli 11:30 - Coffee Break Mathematical models 12:00 - What size Needs Testing? B. Apolloni 12:20 - Sequences of Discrete Hopfield Networks for the Maximum Clique Problem G. Grossi 12:40 - Entropy Based Comparison of Neural Networks for Classification S. Draghici & V. Beiu 13:00 - Energy Functional and Fixed Points of a Neural Network L.B. Litinsky 13:20 - Lunch 15:00 - High light spotting of the posters 16:30 - Poster Session 18:00 - Tavola rotonda "I fondamenti delle reti neurali dopo 10 anni dal loro revival" Friday 23 May 9:30 - Title to be announced C.M. Bishop (Invited Talk) Pattern Recognition & Signal Processing 10:30 - Speeding up Neural Network Execution: an Application to Speech Recognition D. Albesano, F. Mana & R. Gemello 10:50 - Word Recognition by MLP-Based Character Spotting and Dynamic Programming F. Camastra, E. Cepollina & A.M. Colla 11:10 - Periodicity Analysis of Unevenly Spaced Data by means of Neural Networks M. Rasile, L. Milano, R. Tagliaferri & G. Longo 11:30 - Coffee Break 12:00 - Image Reconstruction Using a Hierarchical RBF Network Architecture N.A. Borghese, G. Ferrigno & S. Ferrari 12:20 - Fuzzy Neural Networks for Pattern Recognition A. Blonda & A. Petrosino (Review Talk) 13:20 - Lunch 16:00 - Eduardo R. Caianiello Lecture: - (The winner of the 1997 E.R. Caianiello Fellowship Award) 17:00 - Annual S.I.R.E.N. Meeting 20:00 - Conference Dinner Saturday 24 May 9:30 - Extracting Useful Information from Recurrent Neural Networks: Applications to Financial Time Series. C. Lee Giles & S. Lawrence (Invited Talk) Architectures and Algorithms 10:30 - Computational Maps for Articulatory Speech Synthesis V. Sanguineti & P. Morasso 10:50 - EM Algorithm: A Neural Network View A. Budillon & F. Palmieri 11:10 - Discriminative Least Squares Learning for Fast Adaptive Neural Equalization R. Parisi, E.D. Di Claudio & G. Orlandi 11:30 - Coffee Break 12:00 - Training Analog VLSI Multi Layer Perceptron Networks with Continuous Time Back Propagation G.M. Bo, D.D. Caviglia, H. Chible' & M. Valle 12:20 - A Unifying View of Gradient Calculation and Learning for Locally Recurrent Neural Networks P. Campolucci, A. Uncini & F. Piazza (Review Talk) POSTER SESSION - Hidden Recursive Models P. Frasconi, M. Gori & A. Sperduti - Attractor Neural Networks as Models of Semantic Memory E. Pessa & M. Pietronilla Penna - Plastic Tabu Search for Training Multilayer Perceptrons M. Battisti & P. Burrascano - Cluster Connections: a Visualization Technique to Reveal Cluster Boundaries in Self-Organizing Maps D. Merkl & A. Rauber - Geometrical Constructive Algorithms of Binary Neural Networks G. Martinelli, F.M. Frattale Mascioli & V. Catini - Classifying Magnetic Resonance Spectra of Brain Neoplasms Using Fuzzy and Robust Gold Standard Adjustments N. Pizzi - Application of Fuzzy Neural Networks on Financial Problems M. Rast - On the Cognitive Behaviour of a Multi-Layer Perceptron in Forecasting Meteorological Visibility A. Pasini, V. Pelino & S. Potesta' - Una Soluzione Neurale per la Navigazione di un Robot Mobile in Ambienti Non Strutturati e Non Noti Utilizzando Landmarks Visivi S. Vitabile, F. Bianco, G. Vassallo & F. Sorbello - Video Data Compression Using Multilayer Perceptrons S. Carrato - On the Adaptable Boolean Neural Net Paradigm F.E. Lauria, R. Prevete, M. Milo & S. Visco - Interval Arithmetic Perceptron with Pruning Capability G.P. Drago & S. Ridella - MAIA Neural Network. An Application to the Railway Antiskating System G. Pappalardo, M.N. Postorino, D. Rosaci & G.M.L. Sarne' - A Hebbian Model for Space Representation F. Frisone & P. Morasso - HW/SW Co-Design of a Complete Pre-Processing/Recognition System Based on Sgs-Thomson OCR Analog Chip M. Costa, D. Palmisano, E. Pasero & R. Tosco - Rates of Approximation of Multivariable Functions by One-Hidden-Layer Neural Networks V. Kurkova - Icarus Platform G. Russo - A Distribution-Free VC-Dimension-Based Performance Bound D. Mattera & F. Palmieri The registration is of 300.000 Italian Lire (275.000 Italian Lire for SIREN members) and can be made on site. More information can be found in the www pages at the address below: http:://www-dsi.ing.unifi.it/neural The workshop is the annual meeting of SIREN (Societa' Italiana Reti Neuroniche) Organized and Supported by IIASS (Istituto Internazionale Alti Studi Scientifici) "E.R. Caianiello" Istituto Italiano Studi Filosofici IEEE NNC Italian RIG Universita' degli Studi di Salerno and sponsored by : ELSAG BAILEY, Genova Dipartimento di Informatica ed Applicazioni "R.M. Capocelli", Univ. Salerno Dipartimento di Scienze dell'Informazione, Univ. Milano Dipartimento di Scienze Fisiche "E.R. Caianiello", Univ. Salerno IRSIP-CNR, Napoli From devin@psy.uq.edu.au Fri Apr 18 23:27:49 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 XAA02623 for ; Fri, 18 Apr 1997 23:27:38 -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 XAA19280 for ; Fri, 18 Apr 1997 23:27:37 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa05945; 18 Apr 97 1:06:45 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa05943; 18 Apr 97 0:55:41 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa26625; 18 Apr 97 0:55:32 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa28964; 18 Apr 97 0:43:34 EDT Received: from psych.psy.uq.edu.au by EDRC.CMU.EDU id aa08697; 18 Apr 97 0:43:07 EDT Received: (from devin@localhost) by psych.psy.uq.edu.au (8.8.5/8.7.1) id OAA01511; Fri, 18 Apr 1997 14:42:06 +1000 (EST) Date: Fri, 18 Apr 1997 14:42:06 +1000 (EST) From: Devin McAuley To: connectionists@cs.cmu.edu, cogpsy@neuro.psy.soton.ac.uk, cogsci@mailbase.ac.uk, cogneuro@ptolemy-ethernet.arc.nasa.gov, macpsych@stolaf.edu Subject: Connectionist Models of Cognition: A Workshop Message-ID: MIME-Version: 1.0 Content-Type: TEXT/PLAIN; charset=US-ASCII CONNECTIONIST MODELS OF COGNITION: A WORKSHOP Monday July 7th - Friday July 11th, 1997 University of Queensland Brisbane, Queensland 4072 Australia sponsored by the School of Psychology and the Cognitive Science Program Workshop Home Page: http://psy.uq.edu.au/~brainwav/Workshop/ BrainWave Home Page: http://psy.uq.edu.au/~brainwav/ This workshop provides an opportunity for faculty and students with teaching and research interests in connectionist modeling to gain hands-on modeling experience with the BrainWave neural network simulator during an intensive 5-day workshop on connectionist models of cognition at the University of Queensland. The workshop has three primary objectives: * to provide training in specific connectionist models of cognition. * to introduce instructors to the BrainWave simulator and course materials. * to support the development of new models by the participants. The first two days of the workshop will provide training in specific connectionist models of cognition and introduce participants to the BrainWave simulator. Day 3 will focus on how to develop a new model using BrainWave. On days 4 and 5, the instructors will be available to assist faculty and students in the development of new models and to discuss the development of teaching materials for undergraduate and postgraduate courses on connectionist modeling. Instructors: * Simon Dennis, School of Psychology * Devin McAuley, School of Psychology * Janet Wiles, Schools of Information Technology and Psychology Registration for the 5-day workshop includes: * Course materials: o The BrainWave Simulator for the Mac, Windows95, and Unix Platforms o An Introduction to Neural Networks and the BrainWave Simulator o Three chapters of a workbook on connectionist models of cognition * Morning and afternoon tea (Monday - Friday) * Lunch (Monday and Tuesday) The registration deadline for the workshop is June 6, 1997. ---------------------------------------------------------------------------- PROGRAM July 7 Session 1: Introduction to Connectionist Models and the BrainWave Simulator Session 2: Automatic and Controlled Processing: A Stroop Effect Model: Cohen, Dunbar, and McClelland (1990) July 8 Session 1: Language Disorders: A Deep Dyslexia Model: Hinton and Shallice (1991) Session 2: Episodic Memory: The Matrix Model: Humphreys, Bain, and Pike (1989) July 9 Introduction to Model Development in BrainWave July 10 Individual Model Development and Group Discussion July 11 Individual Model Development and Group Discussion ---------------------------------------------------------------------------- Send general inquiries and registration form to: email: brainwav@psy.uq.edu.au fax: +61-7-3365-4466 (attn: Dr. Devin McAuley) postal mail: BrainWave Workshop (c/o Dr. Devin McAuley) School of Psychology University of Queensland Brisbane, Queensland 4072 Australia ---------------------------------------------------------------------------- REGISTRATION FORM Name: ________________________________________ Email: ________________________________________ Address: ________________________________________ ________________________________________ ________________________________________ ________________________________________ Student (AUS$60) ____ Academic (AUS$95) ____ Industry (AUS$295) ____ ACCOMODATION I would like accomodation at King's College ($45 per night - private room with ensuite shared between two, bed and breakfast) Yes ____ No ____ Arrival Date: ____ Departure Date: ____ Accomodation total: AUS $ ______ I would like to be billeted: Yes ____ No ____ Arrival Date: ____ Departure Date: ____ Total payment including registration: AUS $______ FORM OF PAYMENT Cheque or Money Order ____ Visa ____ Mastercard ____ Card # ____________________________ Expiration Date _____ Please debit my credit card for AUS$_______________ Signature _________________________________________ Cheques and money orders should be made out to University of Queensland, School of Psychology. From bishopc@helios.aston.ac.uk Fri Apr 18 23:27:52 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 XAA02625 for ; Fri, 18 Apr 1997 23:27:40 -0500 Received: from TELNET-1.SRV.CS.CMU.EDU (TELNET-1.SRV.CS.CMU.EDU [128.2.254.108]) by lucy.cs.wisc.edu (8.7.6/8.7.3) with SMTP id XAA19282 for ; Fri, 18 Apr 1997 23:27:39 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa06368; 18 Apr 97 4:00:04 EDT Received: from SKINNER.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa06366; 18 Apr 97 3:47:58 EDT Received: from skinner.boltz.cs.cmu.edu by skinner.boltz.cs.cmu.edu id aa15477; 18 Apr 97 3:47 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa01212; 18 Apr 97 3:33:24 EDT Received: from email.aston.ac.uk by RI.CMU.EDU id aa01758; 18 Apr 97 3:32:50 EDT Received: from sun.aston.ac.uk (actually host fermat.aston.ac.uk) by email.aston.ac.uk with SMTP (PP); Fri, 18 Apr 1997 08:34:00 +0100 Message-Id: <21297.199704180627@sun.aston.ac.uk> X-Mailer: exmh version 2.0alpha 12/3/96 To: Connectionists@cs.cmu.edu cc: bishopc@helios.aston.ac.uk Subject: GTM paper and software available Mime-Version: 1.0 Content-Type: text/plain; charset=us-ascii Date: Fri, 18 Apr 1997 07:27:49 +0100 From: "Prof. Chris Bishop" GTM: The Generative Topographic Mapping ======================================= Christopher M. Bishop, Markus Svensen and Christopher K. I. Williams Accepted for publication in Neural Computation Abstract Latent variable models represent the probability density of data in a space of several dimensions in terms of a smaller number of latent, or hidden, variables. A familiar example is factor analysis which is based on a linear transformations between the latent space and the data space. In this paper we introduce a form of non-linear latent variable model called the Generative Topographic Mapping for which the parameters of the model can be determined using the EM algorithm. GTM provides a principled alternative to the widely used Self-Organizing Map (SOM) of Kohonen (1982), and overcomes most of the significant limitations of the SOM. We demonstrate the performance of the GTM algorithm on a toy problem and on simulated data from flow diagnostics for a multi-phase oil pipeline. Available as a postscript file from the GTM home page: http://www.ncrg.aston.ac.uk/GTM/ This home page also provides a Matlab implementation of GTM as well as data sets used in its development. Related technical reports are available here too. To access other publications by the Neural Computing Research Group, go to the group home page: http://www.ncrg.aston.ac.uk/ and click on `Publications' -- you can then obtain a list of all online NCRG publications, or search by author, title or abstract. From bogner@argos.eleceng.adelaide.edu.au Fri Apr 18 23:27:53 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 XAA02630 for ; Fri, 18 Apr 1997 23:27:45 -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 XAA19284 for ; Fri, 18 Apr 1997 23:27:43 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa07134; 18 Apr 97 11:43:43 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa07132; 18 Apr 97 11:28:54 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa27288; 18 Apr 97 11:28:38 EDT Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa06667; 18 Apr 97 9:15:09 EDT Received: from augean.eleceng.adelaide.edu.au by EDRC.CMU.EDU id aa10725; 18 Apr 97 9:14:58 EDT Received: from argos.eleceng.adelaide.edu.au by augean with SMTP (5.61+IDA+MU/4.8.36) id AA15528 for connectionists@cs.cmu.edu; Fri, 18 Apr 1997 22:44:51 +0930 Received: by argos.eleceng.adelaide.edu.au (SMI-8.6/SMI-SVR4-01) id WAA21872; Fri, 18 Apr 1997 22:44:50 +0930 Date: Fri, 18 Apr 1997 22:44:50 +0930 Message-Id: <199704181314.WAA21872@argos.eleceng.adelaide.edu.au> From: "Robert E. Bogner" To: connectionists@cs.cmu.edu Cc: bogner@eleceng.adelaide.edu.au, anna@eleceng.adelaide.edu.au, bouzerda@eleceng.adelaide.edu.au, tanderson@luminis.adelaide.edu.au Subject: Good Job in Australia POSTDOCTORAL OR RESEARCH FELLOW Signal Processing and Pattern Recognition at CSSIP and the University of Adelaide, South Australia The Cooperative Research Centre for Sensor Signal and Information (CSSIP) is one of several cooperative research centres awarded by the Australian Government to establish excellence in research, development and industrial application of key technologies. The University of Adelaide, represented by the Electrical and Electronic Engineering Dept., is a partner in this cooperative research centre, together with the Defence Science and Technology Organisation, four other universities, and several companies. CSSIP consists of about 100 effective full time researchers, and is well equipped with many UNIX Workstations and a massively parallel machine. The aim of the position is to develop and investigate principles in the areas of sensor signal and image processing, classification and separation of signals, pattern recognition and data fusion. The Pattern Recognition program is in a formative phase. An appointment may be made for up to two years, with possibility of renewal depending on funding. DUTIES: In consultation with task leaders and specialist researchers to contribute to the formulation of research plans, investigate principles for algorithm design, design experiments, prepare data and software and carry out experiments, prepare or assist with the preparation of technical reports, and liaise with other groups and industrial contacts. QUALIFICATIONS: The successful candidate must have a Ph.D. or equivalent achievement, a proven research record, and a demonstrated ability to communicate excellently in written and spoken English. CONDITIONS and PAY will be in accordance with University of Adelaide policies, and will depend on the qualifications and experience. Appointments may be made in scales A$36285 to A$41000 for a postdoc., and A$42538 to A$48688 for a research fellow (A$1 is approx. US$0.78.) plus superannuation contribution. The position may be offered as soon as an outstanding applicant is found. ENQUIRIES: Prof. R. E. Bogner, Electrical & Electronic Engineering, Dept., The University of Adelaide, Adelaide South Australia 5005, phone: (61)-8-8303-5589, Fax: (61)-8-8303 4360 Email: bogner@eleceng.adelaide.edu.au APPLICATIONS should include nationality, residence qualification, date on which the applicant could take up duty in Adelaide, and the names of three referees. They should be sent to Mr. Tim Anderson, Luminis Pty. Ltd, Box 149, Rundle Mall, Adelaide, South Australia 5000. Email: luminis@luminis.adelaide.edu.au From piuri@elet.polimi.it Sat Apr 19 13:08:21 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 NAA00263 for ; Sat, 19 Apr 1997 13:08:12 -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 NAA24011 for ; Sat, 19 Apr 1997 13:08:11 -0500 (CDT) Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa09826; 19 Apr 97 12:41:45 EDT Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa09824; 19 Apr 97 12:29:32 EDT Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa28189; 19 Apr 97 12:28:43 EDT Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa28165; 19 Apr 97 5:20:10 EDT Received: from [131.175.57.35] by RI.CMU.EDU id aa09765; 19 Apr 97 5:19:32 EDT Received: from (localhost [127.0.0.1]) by ims.ims.unico.it (8.6.12/8.6.12) with SMTP id LAA07846; Sat, 19 Apr 1997 11:13:27 +0200 Date: Sat, 19 Apr 1997 11:13:27 +0200 Message-Id: <1.5.4.32.19970419072717.006d2c10@elet.polimi.it> Errors-To: conferences-owner@ims.unico.it Reply-To: conferences@ims.unico.it Originator: conferences@ims.unico.it Sender: conferences@ims.unico.it Precedence: bulk From: Vincenzo Piuri To: Multiple recipients of list Subject: Call for Papers X-Listprocessor-Version: 6.0c -- ListProcessor by Anastasios Kotsikonas X-Comment: Conferences informations X-Mailer: Windows Eudora Light Version 1.5.4 (32) ICONIP'97, The Fourth International Conference on Neural Information Processing, November 24-28, 1997. Dunedin/Queenstown, New Zealand Special Session on System Monitoring, Modeling, and Analysis CALL FOR PAPERS Adaptive and intelligent systems based on neural computation and related techniques have successfully been applied in the analysis of various complex processes. This is due to the inherent learning capability of neural networks which is superior in analyzing systems that cannot be modeled analytically. In addition to various fields of engineering, like pattern recognition, industrial process monitoring, and telecommunications, practical applications include information retrieval, data analysis, and financial applications. A special session devoted to these areas of neural computation will be organized at ICONIP'97. The scope of the special session covers neural networks methods and related techniques as well as applications in the following areas: - monitoring, modeling, and analysis, of complex industrial processes - telecommunications applications, including resource management and optimization - data analysis and fusion, including financial applications - time series modeling and forecasting Prospective authors are invited to submit papers to the special session on any area of neural techniques on system monitoring, modeling, and analysis including, but not limited to the topics listed above. The submissions must be received by May 30, 1997. Please, send five copies of your manuscript to Prof. Olli Simula, Special Session Organizer Helsinki University of Technology, Laboratory of Computer and Information Science, Rakentajanaukio 2 C, FIN-02150 Espoo, Finland. More detailed instructions for manuscript submission procedure can be found at WWW, on the special session home page: http://nucleus.hut.fi/ICONIP97/ssmonitor/ For the most up-to-date information about ICONIP'97, please browse the conference home page: http://divcom.otago.ac.nz:800/com/infosci/kel/iconip97.htm Important dates: Papers due: May 30, 1997 Notification of acceptance: July 20, 1997 Final camera-ready papers due: August 20, 1997 ----------------------------------------------------------------------------- ----------------------------------------------------------------------------- Olli Simula Professor of Computer Science Helsinki University of Technology Telephone: +358-9-4513271 Department of Computer Science and Engineering Mobile: +358-400-448412 Laboratory of Computer and Information Science Fax: +358-9-4513277 http://nucleus.hut.fi/~ollis/ Email: Olli.Simula@hut.fi