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1,400 | Reinforcement Learning with Hierarchies of Machines * Ronald Parr and Stuart Russell Computer Science Division, UC Berkeley, CA 94720 {parr,russell}@cs.berkeley.edu Abstract We present a new approach to reinforcement learning in which the policies considered by the learning process are constrained by ... | 1997 | 53 |
1,401 | Multiplicative Updating Rule for Blind Separation Derived from the Method of Scoring Howard Hua Yang Department of Computer Science Oregon Graduate Institute PO Box 91000, Portland, OR 97291, USA hyang@cse.ogi.edu Abstract For blind source separation, when the Fisher information matrix is ... | 1997 | 54 |
1,402 | On the Separation of Signals from Neighboring Cells in Tetrode Recordings Maneesh Sahani, John S. Pezaris and Richard A. Andersen maneesh@caltech.edu, pz@caltech.edu, andersen@vis.caltech.edu Computation and Neural Systems California Institute of Technology 216-76 Caltech, Pasadena, CA 91125 USA Ab... | 1997 | 55 |
1,403 | Task and Spatial Frequency Effects on Face Specialization Matthew N. Dailey Garrison W. Cottrell Department of Computer Science and Engineering U.C. San Diego La Jolla, CA 92093-0114 {mdailey,gary}@cs.ucsd.edu Abstract There is strong evidence that face processing is localized in the brain. ... | 1997 | 56 |
1,404 | Extended leA Removes Artifacts from Electroencephalographic Recordings Tzyy-Ping JungI, Colin Humphries!, Te-Won Lee!, Scott Makeig2,3, Martin J. McKeown!, Vicente IraguP, Terrence J. SejnowskF 1 Howard Hughes Medical Institute and Computational Neurobiology Lab The Salk Institute, P.O. Box 85800, San Di... | 1997 | 57 |
1,405 | Radial Basis Functions: a Bayesian treatment David Barber* Bernhard Schottky Neural Computing Research Group Department of Applied Mathematics and Computer Science Aston University, Birmingham B4 7ET, U.K. http://www.ncrg.aston.ac.uk/ {D.Barber,B.Schottky}~aston.ac.uk Abstract Bayesian met... | 1997 | 58 |
1,406 | Blind Separation of Radio Signals Fading Channels Kari Torkkola Motorola, Phoenix Corporate Research Labs, 2100 E. Elliot Rd, MD EL508, Tempe, AZ 85284, USA email: A540AA(Qemail.mot.com Abstract • In We apply information maximization / maximum likelihood blind source separation [2, 6) to comp... | 1997 | 59 |
1,407 | Asymptotic Theory for Regularization: One-Dimensional Linear Case Petri Koistinen Rolf Nevanlinna Institute, P.O. Box 4, FIN-00014 University of Helsinki, Finland. Email: PetrLKoistinen@rnLhelsinkLfi Abstract The generalization ability of a neural network can sometimes be improved dramatically by r... | 1997 | 6 |
1,408 | Computing with Action Potentials John J. Hopfield* Carlos D. Brody t Sam Roweis t Abstract Most computational engineering based loosely on biology uses continuous variables to represent neural activity. Yet most neurons communicate with action potentials. The engineering view is equivalent to using a ... | 1997 | 60 |
1,409 | New Approximations of Differential Entropy for Independent Component Analysis and Projection Pursuit Aapo Hyvarinen Helsinki University of Technology Laboratory of Computer and Information Science P.O. Box 2200, FIN-02015 HUT, Finland Email: aapo.hyvarinen<Ohut.fi Abstract We derive a first-o... | 1997 | 61 |
1,410 | Independent Component Analysis for identification of artifacts in Magnetoencephalographic recordings Ricardo Vigario1; Veikko J ousmiiki2 , Matti Hiimiiliiinen2, Riitta Hari2, and Erkki Oja1 1 Lab. of Computer & Info. Science Helsinki University of Technology P.O. Box 2200, FIN-02015 HUT, Finland ... | 1997 | 62 |
1,411 | Classification by Pairwise Coupling TREVOR HASTIE * Stanford University and ROBERT TIBSHIRANI t University of Toronto Abstract We discuss a strategy for polychotomous classification that involves estimating class probabilities for each pair of classes, and then coupling the estimates together. T... | 1997 | 63 |
1,412 | Hybrid reinforcement learning and its application to biped robot control Satoshi Yamada, Akira Watanabe, M:ichio Nakashima {yamada, watanabe, naka}~bio.crl.melco.co.jp Advanced Technology R&D Center Mitsubishi Electric Corporation Amagasaki, Hyogo 661-0001, Japan Abstract A learning system compo... | 1997 | 64 |
1,413 | Synaptic Transmission: An Information-Theoretic Perspective Amit Manwani and Christof Koch Computation and Neural Systems Program California Institute of Technology Pasadena, CA 91125 email: quixote@klab.caltech.edu koch@klab.caltech.edu Abstract Here we analyze synaptic transmission from an ... | 1997 | 65 |
1,414 | Just One View: Invariances in Inferotemporal Cell Thning Maximilian Riesenhuber Tomaso Poggio Center for Biological and Computational Learning and Department of Brain and Cognitive Sciences Massachusetts Institute of Techno)ogy, E25-201 Cambridge, MA 02139 {max,tp }@ai.mit.edu Abstract In ... | 1997 | 66 |
1,415 | Agnostic Classification of Markovian Sequences Ran EI-Yaniv Shai Fine Naftali Tishby* Institute of Computer Science and Center for Neural Computation The Hebrew University Jerusalem 91904, Israel E-Dlail: {ranni,fshai,tishby}Ocs.huji.ac.il Category: Algorithms. Abstract Classification o... | 1997 | 67 |
1,416 | Visual Navigation in a Robot using Zig-Zag Behavior M. Anthony Lewis Beckman Institute 405 N. Mathews Avenue University of Illinois Urbana, lllinois 61801 Abstract We implement a model of obstacle avoidance in flying insects on a small, monocular robot. The result is a system that is capable ... | 1997 | 68 |
1,417 | Generalized Prioritized Sweeping David Andre Nir Friedman Ronald Parr Computer Science Division, 387 Soda Hall University of California, Berkeley, CA 94720 {dandre,nir,parr}@cs.berkeley.edu Abstract Prioritized sweeping is a model-based reinforcement learning method that attempts to focus an ... | 1997 | 69 |
1,418 | On Efficient Heuristic Ranking of Hypotheses Steve Chien, Andre Stechert, and Darren Mutz Jet Propulsion Laboratory, California Institute of Technology 4800 Oak Grove Drive, MIS 525-3660, Pasadena, CA 91109-8099 steve.chien@jpl.nasa.gov, Voice: (818) 306-6144 FAX: (818) 306-6912 Content Areas: Applica... | 1997 | 7 |
1,419 | Multiresolution Tangent Distance for Affine-invariant Classification Nuno Vasconcelos Andrew Lippman MIT Media Laboratory, 20 Ames St, E15-320M, Cambridge, MA 02139, {nuno,lip }@media.mit.edu Abstract The ability to rely on similarity metrics invariant to image transformations is an important issue... | 1997 | 70 |
1,420 | Effects of Spike Timing Underlying Binocular Integration and Rivalry in a Neural Model of Early Visual Cortex Erik D. Lumer Wellcome department of Cognitive Neurology Institute of Neurology, University College of London 12 Queen Square, London, WC1N 3BG, UK Abstract In normal vision, the inputs ... | 1997 | 71 |
1,421 | Detection of first and second order motion Alexander Grunewald Division of Biology California Institute of Technology Mail Code 216-76 Pasadena, CA 91125 alex@vis.caltech.edu Heiko Neumann Abteilung Neuroinformatik Vniversitat VIm 89069 VIm Germany hneumann@neuro.informatik.uni-ulm.d... | 1997 | 72 |
1,422 | A Framework for Multiple-Instance Learning Oded Maron NE43-755 AI Lab, M.I. T. Cambridge, MA 02139 oded@ai.mit.edu Abstract Tomas Lozano-Perez NE43-836a AI Lab, M.I.T. Cambridge, MA 02139 tlp@ai.mit.edu Multiple-instance learning is a variation on supervised learning, where the ta... | 1997 | 73 |
1,423 | Monotonic Networks Joseph Sill Computation and Neural Systems program California Institute of Technology MC 136-93, Pasadena, CA 91125 email: joe@cs.caltech.edu Abstract Monotonicity is a constraint which arises in many application domains. We present a machine learning model, the monotonic network... | 1997 | 74 |
1,424 | Relative Loss Bounds for Multidimensional Regression Problems Jyrki Kivinen Department of Computer Science P.O. Box 26 (Teollisuuskatu 23) FIN-00014 University of Helsinki, Finland Abstract Manfred K. Warmuth Department of Computer Science University of California, Santa Cruz Santa Cruz, C... | 1997 | 75 |
1,425 | Gradients for retinotectal mapping Geoffrey J. Goodhill Georgetown Institute for Cognitive and Computational Sciences Georgetown University Medical Center 3970 Reservoir Road Washington IX: 20007 geoff@giccs.georgetown.edu Abstract The initial activity-independent formation of a topographic map ... | 1997 | 76 |
1,426 | Multi-modular Associative Memory Nir Levy David Horn School of Physics and Astronomy Tel-Aviv University Tel Aviv 69978, Israel Eytan Ruppin Departments of Computer Science & Physiology Tel-Aviv University Tel Aviv 69978, Israel Abstract Motivated by the findings of modular structure in the a... | 1997 | 77 |
1,427 | Analysis of Drifting Dynamics with Neural Network Hidden Markov Models J. Kohlmorgen GMD FIRST Rudower Chaussee 5 12489 Berlin, Germany K.-R. Miiller GMD FIRST Rudower Chaussee 5 12489 Berlin, Germany Abstract K. Pawelzik MPI f. Stromungsforschung Bunsenstr. 10 37073 Gottingen,... | 1997 | 78 |
1,428 | The Observer-Observation Dilemma in Neuro-Forecasting Hans Georg Zimmermann SiemensAG Corporate Technology D-81730 Munchen, Germany Georg.Zimmermann@mchp.siemens.de Ralph N euneier Siemens AG Corporate Technology D-81730 Munchen, Germany Ralph.Neuneier@mchp.siemens.de Abstract We ... | 1997 | 79 |
1,429 | Learning Continuous Attractors in Recurrent Networks H. Sebastian Seung Bell Labs, Lucent Technologies Murray Hill, NJ 07974 seung~bell-labs.com Abstract One approach to invariant object recognition employs a recurrent neural network as an associative memory. In the standard depiction of the net... | 1997 | 8 |
1,430 | A Model of Early Visual Processing Laurent Itti, Jochen Braun, Dale K. Lee and Christof Koch {itti, achim, jjwen, koch}Gklab.caltech.edu Computation & Neural Systems, MSC 139-74 California Institute of Technology, Pasadena, CA 91125, U.S.A. Abstract We propose a model for early visual processing in pr... | 1997 | 80 |
1,431 | A Simple and Fast Neural Network Approach to Stereovision Rolf D. Henkel Institute of Theoretical Physics University of Bremen P.O. Box 330 440, D-28334 Bremen http://axon.physik.uni-bremen.de/-rdh Abstract A neural network approach to stereovision is presented based on aliasing effects of si... | 1997 | 81 |
1,432 | On Parallel Versus Serial Processing: A Computational Study of Visual Search Eyal Cohen Department of Psychology Tel-Aviv University Tel Aviv 69978, Israel eyalc@devil. tau .ac .il Eytan Ruppin Departments of Computer Science & Physiology Tel-Aviv University Tel Aviv 69978, Israel ruppin@math... | 1997 | 82 |
1,433 | Using Expectation to Guide Processing: A Study of Three Real-World Applications Shumeet 8aluja Justsystem Pittsburgh Research Center & School of Computer Science, Carnegie Mellon University baluja@cs.cmu.edu Abstract In many real world tasks, only a small fraction of the available inputs are import... | 1997 | 83 |
1,434 | Features as Sufficient Statistics D. Geiger • Department of Computer Science Courant Institute and Center for Neural Science New York University geiger~cs.nyu.edu A. Rudra t Department of Computer Science Courant Institute New York University archi~cs.nyu.edu L. Maloney t Departme... | 1997 | 84 |
1,435 | Factorizing Multivariate Function Classes Juan K. Lin* Department of Physics University of Chicago Chicago, IL 60637 Abstract The mathematical framework for factorizing equivalence classes of multivariate functions is formulated in this paper. Independent component analysis is shown to be a spec... | 1997 | 85 |
1,436 | An Annealed Self-Organizing Map for Source Channel Coding Matthias Burger, Thore Graepel, and Klaus Obermayer Department of Computer Science Technical University of Berlin FR 2-1, Franklinstr. 28/29, 10587 Berlin, Germany {burger, graepel2, oby} @cs.tu-berlin.de Abstract We derive and analyse ro... | 1997 | 86 |
1,437 | How to Dynamically Merge Markov Decision Processes Satinder Singh Department of Computer Science University of Colorado Boulder, CO 80309-0430 baveja@cs.colorado.edu Abstract David Cohn Adaptive Systems Group Harlequin, Inc. Menlo Park, CA 94025 cohn@harlequin.com We are frequentl... | 1997 | 87 |
1,438 | Refractoriness and Neural Precision Michael J. Berry n and Markus Meister Molecular and Cellular Biology Department Harvard University Cambridge, MA 02138 Abstract The relationship between a neuron's refractory period and the precision of its response to identical stimuli was investigated. We const... | 1997 | 88 |
1,439 | Active Data Clustering Thomas Hofmann Center for Biological and Computational Learning, MIT Cambridge, MA 02139, USA, hofmann@ai.mit.edu Joachim M. Buhmann Institut fur Informatik III, Universitat Bonn RomerstraBe 164, D-53117 Bonn, Germany, jb@cs.uni-bonn.de Abstract Active data clustering is a... | 1997 | 89 |
1,440 | Boltzmann Machine learning using mean field theory and linear response correction H.J. Kappen Department of Biophysics University of Nijmegen, Geert Grooteplein 21 NL 6525 EZ Nijmegen, The Netherlands F. B. Rodriguez Instituto de Ingenieria del Conocimiento & Departamento de Ingenieria Informatica.... | 1997 | 9 |
1,441 | Coding of Naturalistic Stimuli by Auditory Midbrain Neurons H. Attias* and C.E. Schreinert Sloan Center for Theoretical Neurobiology and W.M. Keck Foundation Center for Integrative Neuroscience University of California at San Francisco San Francisco, CA 94143-0444 Abstract It is known that human... | 1997 | 90 |
1,442 | Enhancing Q-Learning for Optimal Asset Allocation Ralph Neuneier Siemens AG, Corporate Technology D-81730 MUnchen, Germany Ralph.Neuneier@mchp.siemens.de Abstract This paper enhances the Q-Iearning algorithm for optimal asset allocation proposed in (Neuneier, 1996 [6]). The new formulation simplifi... | 1997 | 91 |
1,443 | Nonparametric Model-Based Reinforcement Learning Christopher G. Atkeson College of Computing, Georgia Institute of Technology, Atlanta, GA 30332-0280, USA ATR Human Information Processing, 2-2 Hikaridai, Seiko-cho, Soraku-gun, 619-02 Kyoto, Japan cga@cc.gatech.edu http://www.cc.gatech.edu/fac/Ch... | 1997 | 92 |
1,444 | On Parallel Versus Serial Processing: A Computational Study of Visual Search Eyal Cohen Department of Psychology Tel-Aviv University Tel Aviv 69978, Israel eyalc@devil. tau .ac .il Eytan Ruppin Departments of Computer Science & Physiology Tel-Aviv University Tel Aviv 69978, Israel ruppin@math... | 1997 | 93 |
1,445 | A Superadditive-Impairment Theory of Optic Aphasia Michael C. Mozer Dept. of Computer Science University of Colorado Boulder; CO 80309-0430 Mark Sitton Dept. of Computer Science University of Colorado Boulder; CO 80309-0430 Abstract Martha Farah Dept. of Psychology University of P... | 1997 | 94 |
1,446 | S-Map: A network with a simple self-organization algorithm for generative topographic mappings Kimmo Kiviluoto Laboratory of Computer and Information Science Helsinki University of Technology P.O. Box 2200 FIN-02015 HUT, Espoo, Finland Kimmo.KiviluotoChut.fi Erkki Oja Laboratory of Comp... | 1997 | 95 |
1,447 | Bayesian model of surface perception William T. Freeman MERL, Mitsubishi Electric Res. Lab. 201 Broadway Cambridge, MA 02139 freeman~erl.com Paul A. Viola Artificial Intelligence Lab Massachusetts Institute of Technology Cambridge, MA 02139 viola~ai.mit.edu Abstract Image intensity v... | 1997 | 96 |
1,448 | Training Methods for Adaptive Boosting of Neural Networks Holger Schwenk Dept.IRO Universite de Montreal 2920 Chemin de la Tour, Montreal, Qc, Canada, H3C 317 schwenk@iro.umontreal.ca Yoshua Bengio Dept.IRO Universite de Montreal and AT&T Laboratories, NJ bengioy@iro.umontreal.ca ... | 1997 | 97 |
1,449 | An Analog VLSI Model of the Fly Elementary Motion Detector Reid R. Harrison and Christof Koch Computation and Neural Systems Program, 139-74 California Institute of Technology Pasadena, CA 91125 [harrison,koch]@klab.caltech.edu Abstract Flies are capable of rapidly detecting and integrating visu... | 1997 | 98 |
1,450 | Experiences with Bayesian Learning Real World Application Peter Sykacek, Georg Dorffner Austrian Research Institute for Artificial Intelligence Schottengasse 3, A-10ID Vienna Austria peter, georg@ai.univie.ac.at Peter Rappelsberger Institute for Neurophysiology at the University Vienna Wahringer... | 1997 | 99 |
1,451 | Computational Differences between Asymmetrical and Symmetrical Networks Zhaoping Li Peter Dayan Gatsby Computational Neuroscience Unit 17 Queen Square, London, England, WCIN 3AR. zhaoping@gatsby.ucl.ac.uk dayan@gatsby.ucl.ac.uk Abstract Symmetrically connected recurrent networks have recently... | 1998 | 1 |
1,452 | Replicator Equations, Maximal Cliques, and Graph Isomorphism Marcello Pelillo Dipartimento di Informatica Universita Ca' Foscari di Venezia Via Torino 155, 30172 Venezia Mestre, Italy E-mail: pelillo@dsi.unive.it Abstract We present a new energy-minimization framework for the graph isomorphis... | 1998 | 10 |
1,453 | Support Vector Machines Applied to Face Recognition P. Jonathon Phillips National Institute of Standards and Technology Bldg 225/ Rm A216 Gaithersburg. MD 20899 Tel 301.975.5348; Fax 301.975.5287 jonathon@nist.gov Abstract Face recognition is a K class problem. where K is the number of known ... | 1998 | 100 |
1,454 | A Theory of Mean Field Approximation T.Tanaka Department of Electronics and Information Engineering Tokyo Metropolitan University I-I, Minami-Osawa, Hachioji, Tokyo 192-0397 Japan Abstract I present a theory of mean field approximation based on information geometry. This theory includes in a consisten... | 1998 | 101 |
1,455 | Unsupervised and supervised clustering: the mutual information between parameters and observations Didier Herschkowitz Jean-Pierre Nadal Laboratoire de Physique Statistique de l'E.N.S.* Ecole Normale Superieure 24, rue Lhomond - 75231 Paris cedex 05, France herschko@lps.ens.fr nadal@lps.ens.f... | 1998 | 102 |
1,456 | Stationarity and Stability of Autoregressive Neural Network Processes Friedrich Leisch\ Adrian Trapletti2 & Kurt Hornikl 1 Institut fur Statistik Technische UniversiUit Wien Wiedner Hauptstrafie 8-10 / 1071 A-1040 Wien, Austria firstname.lastname@ci.tuwien.ac.at 2 Institut fiir Unternehmensfiihr... | 1998 | 103 |
1,457 | A Principle for Unsupervised Hierarchical Decomposition of Visual Scenes Michael C. Mozer Dept. of Computer Science University of Colorado Boulder, CO 80309-0430 ABSTRACT Structure in a visual scene can be described at many levels of granularity. At a coarse level, the scene is composed of objects;... | 1998 | 104 |
1,458 | Gradient Descent for General Reinforcement Learning Leemon Baird leemon@cs.cmu.edu www.cs.cmu.edu/- Ieemon Computer Science Department 5000 Forbes Avenue Carnegie Mellon University Pittsburgh, PA 15213-3891 Abstract Andrew Moore awm@cs.cmu.edu www.cs.cmu.edu/-awm Computer Science ... | 1998 | 105 |
1,459 | Vertex Identification in High Energy Physics Experiments Gideon Dror* Department of Computer Science The Academic College of Tel-Aviv-Yaffo, Tel Aviv 64044, Israel Halina Abramowiczt David Hornt School of Physics and Astronomy Raymond and Beverly Sackler Faculty of Exact Sciences Tel-Aviv Univer... | 1998 | 106 |
1,460 | Probabilistic Visualisation of High-dimensional Binary Data Michael E. Tipping Microsoft Research, St George House, 1 Guildhall Street, Cambridge CB2 3NH, U.K. mtipping@microsoit.com Abstract We present a probabilistic latent-variable framework for data visualisation, a key feature of which is i... | 1998 | 107 |
1,461 | Computation of Smooth Optical Flow in a Feedback Connected Analog Network Alan Stocker * Institute of Neuroinforrnatics University and ETH Zi.irich Winterthurerstrasse 190 8057 Zi.irich, Switzerland Abstract Rodney Douglas Institute of Neuroinforrnatics University and ETH Zi.irich Winte... | 1998 | 108 |
1,462 | Applications of multi-resolution neural networks to mammography Clay D. Spence and Paul Sajda Sarnoff Corporation CN5300 Princeton, NJ 08543-5300 {cspence, psajda }@sarnoff.com Abstract We have previously presented a coarse-to-fine hierarchical pyramid/neural network (HPNN) architecture which co... | 1998 | 109 |
1,463 | Orientation, Scale, and Discontinuity as Emergent Properties of Illusory Contour Shape Karvel K. Thornber NEC Research Institute 4 Independence Way Princeton, NJ 08540 Lance R. Williams Dept. of Computer Science University of New Mexico Albuquerque, NM 87131 Abstract A recent neural ... | 1998 | 11 |
1,464 | Divisive Normalization, Line Attractor Networks and Ideal Observers Sophie Denevel Alexandre Pougetl, and P.E. Latham2 1 Georgetown Institute for Computational and Cognitive Sciences, Georgetown University, Washington, DC 20007-2197 2Dpt of Neurobiology, UCLA, Los Angeles, CA 90095-1763, U.S.A. Abstra... | 1998 | 110 |
1,465 | Robot Docking using Mixtures of Gaussians Matthew Williamson* Roderick Murray-Smith t Volker Hansent Abstract This paper applies the Mixture of Gaussians probabilistic model, combined with Expectation Maximization optimization to the task of summarizing three dimensional range data for a mobile robot. Th... | 1998 | 111 |
1,466 | Semi-Supervised Support Vector Machines Kristin P. Bennett Department of Mathematical Sciences Rensselaer Polytechnic Institute Troy, NY 12180 bennek@rpi.edu Ayhan Demiriz Department of Decision Sciences and Engineering Systems Rensselaer Polytechnic Institute Troy, NY 12180 demira@rpi.edu... | 1998 | 112 |
1,467 | A Phase Space Approach to Minimax Entropy Learning and the Minutemax Approximations James M. Coughlan Smith-Kettlewell Inst. San Francisco, CA 94115 Abstract A.L.Yuille Smith-Kettlewell Inst. San Francisco, CA 94115 There has been much recent work on measuring image statistics and on le... | 1998 | 113 |
1,468 | Almost Linear VC Dimension Bounds for Piecewise Polynomial Networks Peter L. Bartlett Department of System Engineering Australian National University Canberra, ACT 0200 Australia Peter.Bartlett@anu.edu.au Ron Meir Vitaly Maiorov Department of Mathematics Technion, Haifa 32000 Israel ... | 1998 | 114 |
1,469 | Bayesian Modeling of Facial Similarity Baback Moghaddam Mitsubishi Electric Research Laboratory 201 Broadway Cambridge, MA 02139, USA babackCOmerl.com Tony Jebara and Alex Pentland Massachusettes Institute of Technology 20 Ames St. Cambridge, MA 02139, USA {jebara,sandy}COmedia.mit.edu ... | 1998 | 115 |
1,470 | The Bias-Variance Tradeoff and the Randomized GACV Grace Wahba, Xiwu Lin and Fangyu Gao Dept of Statistics Univ of Wisconsin 1210 W Dayton Street Madison, WI 53706 wahba,xiwu,fgao@stat.wisc.edu Dong Xiang SAS Institute, Inc. SAS Campus Drive Cary, NC 27513 sasdxx@unx.sas.com Ronal... | 1998 | 116 |
1,471 | The Role of Lateral Cortical Competition in Ocular Dominance Development Christian Piepenbrock and Klaus Obermayer Dept. of Computer Science, Technical University of Berlin FR 2-1; Franklinstr. 28-29; 10587 Berlin, Germany' {piep,oby}@cs.tu-berlin.de; http://www.ni.cs.tu-berlin.de Abstract Lateral ... | 1998 | 117 |
1,472 | General Bounds on Bayes Errors for Regression with Gaussian Processes Manfred Opper Neural Computing Research Group Dept. of Electronic Engineering and Computer Science, Aston University, Birmingham, B4 7ET United Kingdom oppermGaston.ac.uk Francesco Vivarelli Centro Ricerche Ambientali... | 1998 | 118 |
1,473 | Bayesian peA Christopher M. Bishop Microsoft Research St. George House, 1 Guildhall Street Cambridge CB2 3NH, u.K. cmbishop@microsoft.com Abstract The technique of principal component analysis (PCA) has recently been expressed as the maximum likelihood solution for a generative latent variabl... | 1998 | 119 |
1,474 | Active Noise Canceling using Analog NeuroChip with On-Chip Learning Capability Jung-Wook Cho and Soo-Young Lee Computation and Neural Systems Laboratory Department of Electrical Engineering Korea Advanced Institute of Science and Technology 373-1 Kusong-dong, Yusong-gu, Taejon 305-701, Korea sylee@ee.... | 1998 | 12 |
1,475 | A Precise Characterization of the Class of Languages Recognized by Neural Nets under Gaussian and other Common Noise Distributions Wolfgang Maass* Inst. for Theoretical Computer Science, Technische Universitat Graz Klosterwiesgasse 3212, A-80lO Graz, Austria email: maass@igi.tu-graz.ac.at Abs... | 1998 | 120 |
1,476 | General-purpose localization of textured • • Image regions Rutb Rosenboltz· XeroxPARC 3333 Coyote Hill Rd. Palo Alto, CA 94304 Abstract We suggest a working definition of texture: Texture is stuff that is more compactly represented by its statistics than by specifying the configuration ... | 1998 | 121 |
1,477 | Making Templates Rotationally Invariant: An Application to Rotated Digit Recognition Shurneet Baluja baluja@cs.cmu.edu J ustsystem Pittsburgh Research Center & School of Computer Science, Carnegie Mellon University Abstract This paper describes a simple and efficient method to make template-based ... | 1998 | 122 |
1,478 | Outcomes of the Equivalence of Adaptive Ridge with Least Absolute Shrinkage Yves Grandvalet Stephane Canu Heudiasyc, UMR CNRS 6599, Universite de Technologie de Compiegne, BP 20.529, 60205 Compiegne cedex, France Yves.Grandvalet@hds.utc.fr Abstract Adaptive Ridge is a special form of Ridge regre... | 1998 | 123 |
1,479 | Bayesian modeling of human concept learning Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology, Cambridge, MA 02139 jbt@psyche.mit.edu Abstract I consider the problem of learning concepts from small numbers of positive examples, a feat which humans per... | 1998 | 124 |
1,480 | Maximum Conditional Likelihood via Bound Maximization and the CEM Algorithm Tony J ebara and Alex Pentland Vision and Modeling, MIT Media Laboratory, Cambridge MA http://www.rnedia.rnit.edu/ ~ jebara { jebara,sandy }~rnedia.rnit.edu Abstract We present the CEM (Conditional Expectation Maximi::at... | 1998 | 125 |
1,481 | Source Separation as a By-Product of Regularization Sepp Hochreiter Fakultat fur lnformatik Technische Universitat Munchen 80290 M unchen, Germany hochreit~informatik.tu-muenchen.de Abstract J urgen Schmidhuber IDSIA Corso Elvezia 36 6900 Lugano, Switzerland juergen~idsia.ch This ... | 1998 | 126 |
1,482 | Analog VLSI Cellular Implementation of the Boundary Contour System Gert Cauwenberghs and James Waskiewicz Department of Electrical and Computer Engineering Johns Hopkins University 3400 North Charles Street Baltimore, MD 21218-2686 E-mail: {gert, davros }@bach. ece. jhu. edu Abstract We prese... | 1998 | 127 |
1,483 | Unsupervised Classification with Non-Gaussian Mixture Models using ICA Te-Won Lee, Michael S. Lewicki and Terrence Sejnowski Howard Hughes Medical Institute Computational Neurobiology Laboratory The Salk Institute 10010 N. Torrey Pines Road La Jolla, California 92037, USA {tewon,lewicki,terry}Os... | 1998 | 128 |
1,484 | Barycentric Interpolators for Continuous Space & Time Reinforcement Learning Remi Munos & Andrew Moore Robotics Institute, Carnegie Mellon University Pittsburgh, PA 15213, USA. E-mail: {munos, awm }@cs.cmu.edu Abstract In order to find the optimal control of continuous state-space and time reinf... | 1998 | 129 |
1,485 | Coordinate Transformation Learning of Hand Position Feedback Controller by U sing Change of Position Error Norm Eimei Oyama* Mechanical Eng. Lab. Namiki 1-2, Tsukuba Science City Ibaraki 305-8564 Japan Abstract Susumu Tachi The University of Tokyo Hongo 7-3-1, Bunkyo-ku Tokyo 113-0033 J... | 1998 | 13 |
1,486 | Exploiting generative models discriminative classifiers • In Tommi S. Jaakkola* MIT Artificial Intelligence Laboratorio 545 Technology Square Cambridge, MA 02139 David Haussler Department of Computer Science University of California Santa Cruz, CA 95064 Abstract Generative probabilit... | 1998 | 130 |
1,487 | Learning a Continuous Hidden Variable Model for Binary Data Daniel D. Lee Bell Laboratories Lucent Technologies Murray Hill, NJ 07974 ddlee~bell-labs.com Haim Sompolinsky Racah Institute of Physics and Center for Neural Computation Hebrew University Jerusalem, 91904, Israel haim~fiz.... | 1998 | 131 |
1,488 | Perceiving without Learning: from Spirals to Inside/Outside Relations Ke Chen" and DeLiang L. Wang Department of Computer and Information Science and Center for Cognitive Science The Ohio State University, Columbus, OH 43210-1277, USA {kchen,dwang}@cis.ohio-state.edu Abstract As a benchmark task, t... | 1998 | 132 |
1,489 | Optimizing Classifiers for Imbalanced Training Sets Grigoris Karakoulas Global Analytics Group Canadian Imperial Bank of Commerce 161 Bay St., BCE-ll, Toronto ON, Canada M5J 2S8 Email: karakoulOcibc.ca John Shawe-Taylor Department of Computer Science Royal Holloway, University of London ... | 1998 | 133 |
1,490 | Blind Separation of Filtered Sources Using State-Space Approach Liqing Zhang· and Andrzej Cichockit Laboratory for Open Information Systems, Brain Science Institute, RIKEN Saitama 351-0198, Wako shi, JAPAN Email: {zha.cia}@open.brain.riken.go.jp Abstract In this paper we present a novel approach... | 1998 | 134 |
1,491 | Recurrent Cortical Amplification Produces Complex Cell Responses Frances S. Chance~ Sacha B. Nelson~ and L. F. Abbott Volen Center and Department of Biology Brandeis University Waltham, MA 02454 Abstract Cortical amplification has been proposed as a mechanism for enhancing the selectivity of neu... | 1998 | 135 |
1,492 | Viewing Classifier Systems as Model Free Learning in POMDPs Akira Hayashi and Nobuo Suematsu Faculty of Information Sciences Hiroshima City University 3-4-1 Ozuka-higashi, Asaminami-ku, Hiroshima, 731-3194 Japan { akira,suematsu }@im.hiroshima-cu.ac.jp Abstract Classifier systems are now viewed ... | 1998 | 136 |
1,493 | Reinforcement Learning based on On-line EM Algorithm Masa-aki Sato t t ATR Human Information Processing Research Laboratories Seika, Kyoto 619-0288, Japan masaaki@hip.atr.co.jp Shin Ishii +t tNara Institute of Science and Technology Ikoma, Nara 630-0101, Japan ishii@is.aist-nara.ac.jp Abst... | 1998 | 137 |
1,494 | Learning multi-class dynamics A. Blake, B. North and M. Isard Department of Engineering Science, University of Oxford, Oxford OXl 3P J, UK. Web: http://www.robots.ox.ac.uk/ ... vdg/ Abstract Standard techniques (eg. Yule-Walker) are available for learning Auto-Regressive process models of simple, dire... | 1998 | 138 |
1,495 | Markov processes on curves for automatic speech recognition Lawrence Saul and Mazin Rahim AT&T Labs Research Shannon Laboratory 180 Park Ave E-171 Florham Park, NJ 07932 {lsaul,rnazin}Gresearch.att.com Abstract We investigate a probabilistic framework for automatic speech recognition based... | 1998 | 139 |
1,496 | Multi-electrode spike sorting by clustering transfer functions Dmitry Rinberg Hanan Davidowitz NEe Research Institute 4 Independence Way Princeton, N J 08540 N aftali Tishby* E-mail: {dima,hanan, tishby }<Dreseareh. nj . nee . com Categories: spike sorting, population coding, signal processin... | 1998 | 14 |
1,497 | Discovering hidden features with Gaussian processes regression Francesco Vivarelli Christopher K. I. Williams Centro Ricerche Ambientali Division of Informatics Montecatini, The University of Edinburgh, via Ciro Menotti, 48 5 Forrest Hill, 48023 Marina di Ravenna Edinburgh, EH1 2QL Italy Unite... | 1998 | 140 |
1,498 | Utilizing Time: Asynchronous Binding Bradley C. Love Department of Psychology Northwestern University Evanston, IL 60208 Abstract Historically, connectionist systems have not excelled at representing and manipulating complex structures. How can a system composed of simple neuron-like computing element... | 1998 | 141 |
1,499 | Very Fast EM-based Mixture Model Clustering using Multiresolution kd-trees Andrew W. Moore Robotics Inst.i t.ut.e, Carnegie tl1plloll University Pittsburgh , PA 15:21:3. a\\'l11'9.'cs.cll1u.eciu Abstract Clustering is importa nt in many fields including m anufactlll'ing, bio l og ~' , fin ance, and... | 1998 | 142 |
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