index int64 0 20.3k | text stringlengths 0 1.3M | year stringdate 1987-01-01 00:00:00 2024-01-01 00:00:00 | No stringlengths 1 4 |
|---|---|---|---|
1,300 | A Mixture of Experts Classifier with Learning Based on Both Labelled and Unlabelled Data David J. Miller and Hasan S. Uyar Department of Electrical Engineering The Pennsylvania State University University Park, Pa. 16802 miller@perseus.ee.psu.edu Abstract We address statistical classifier des... | 1996 | 99 |
1,301 | Prior Knowledge in Support Vector Kernels Bernhard Scholkopf*t, Patrice Simardt, Alex Smola t, & Vladimir Vapnikt * Max-Planck-Institut fur biologische Kybernetik, Tiibingen, Gennany t GMD FIRST, Rudower Chaussee 5, 12489 Berlin, Gennany t AT&T Research, 100 Schulz Drive, Red Bank, NJ, USA bS@first.gmd.d... | 1997 | 1 |
1,302 | Incorporating Test Inputs into Learning Zebra Cataltepe Learning Systems Group Department of Computer Science California Institute of Technology Pasadena, CA 91125 zehra@cs.caltech.edu Malik Magdon-Ismail Learning Systems Group Department of Electrical Engineering California Institute of T... | 1997 | 10 |
1,303 | Analytical study of the interplay between architecture and predictability Avner Priel, Ido Kanter, David A. Kessler Minerva Center and Department of Physics, Bar Ilan University, Ramat-Gan 52900, Israel. e-mail: priel@mail.cc.biu.ac.il (web-page: http://faculty.biu.ac.il/ ""'priel) Abstract We s... | 1997 | 100 |
1,304 | A Hippocampal Model of Recognition Memory Randall C. O'Reilly Department of Psychology University of Colorado at Boulder Campus Box 345 Boulder, CO 80309-0345 oreilly@psych.colorado.edu Kenneth A. Norman Department of Psychology Harvard University 33 Kirkland Street Cambridge, MA 02138 ... | 1997 | 101 |
1,305 | Wavelet Models for Video Time-Series Sheng Ma and Chuanyi Ji Department of Electrical, Computer, and Systems Engineering Rensselaer Polytechnic Institute, Troy, NY 12180 e-mail: shengm@ecse.rpi.edu, chuanyi@ecse.rpi.edu Abstract In this work, we tackle the problem of time-series modeling of video t... | 1997 | 102 |
1,306 | Multi-time Models for Temporally Abstract Planning Doina Precup, Richard S. Sutton University of Massachusetts Amherst, MA 01003 {dprecuplrich}@cs.umass.edu Abstract Planning and learning at multiple levels of temporal abstraction is a key problem for artificial intelligence. In this paper we su... | 1997 | 103 |
1,307 | Linear concepts and hidden variables: An empirical study Adam J. Grove NEC Research Institute 4 Independence Way Princeton NJ 08540 grove@research.nj.nec.com Dan Rothe Department of Computer Science University of Illinois at Urbana-Champaign 1304 W. Springfield Ave. Urbana 61801 danr@cs... | 1997 | 104 |
1,308 | Comparison of Human and Machine Word Recognition M. Schenkel Dept of Electrical Eng. University of Sydney Sydney, NSW 2006, Australia schenkel@sedal.usyd.edu.au M. Jabri C. Latimer Dept of Psychology University of Sydney Sydney, NSW 2006, AustTalia Dept of Electrical Eng. Universi... | 1997 | 105 |
1,309 | Characterizing Neurons in the Primary Auditory Cortex of the Awake Primate U sing Reverse Correlation R. Christopher deC harms decharms@phy.ucsf.edu Michael M . Merzenich merz@phy.ucsf.edu w. M. Keck Center for Integrative Neuroscience University of California, San Francisco CA 94143 Abstract... | 1997 | 106 |
1,310 | Phase transitions and the perceptual organization of video sequences Yair Weiss Dept. of Brain and Cognitive Sciences Massachusetts Institute of Technology ElO-120, Cambridge, MA 02139 http://www-bcs.mit.edu;-yweiss Abstract Estimating motion in scenes containing multiple moving objects remai... | 1997 | 107 |
1,311 | Regression with Input-dependent Noise: A Gaussian Process Treatment Paul W. Goldberg Department of Computer Science University of Warwick Coventry, CV 4 7 AL, UK pvgGdcs.varvick.ac.uk Christopher K.I. Williams Neural Computing Research Group Aston University Birmingham B4 7ET, UK c.k.i.... | 1997 | 108 |
1,312 | A Generic Approach for Identification of Event Related Brain Potentials via a Competitive Neural Network Structure Daniel H. Lange Department of Electrical Engineering Technion - liT Haifa 32000 Israel e-mail: lange@turbo.technion.ac.il Hillel Pratt Evoked Potential Laboratory Technion ... | 1997 | 109 |
1,313 | An application of Reversible-J ump MCMC to multivariate spherical Gaussian mixtures Alan D. Marrs Signal & Information Processing Dept. Defence Evaluation & Research Agency Gt. Malvern, UK WR14 3PS marrs@signal.dra.hmg.gb Abstract Applications of Gaussian mixture models occur frequently in th... | 1997 | 11 |
1,314 | On the infeasibility of training neural networks with small squared errors Van H. Vu Department of Mathematics, Yale University vuha@math.yale.edu Abstract We demonstrate that the problem of training neural networks with small (average) squared error is computationally intractable. Consider a data ... | 1997 | 110 |
1,315 | Structure Driven Image Database Retrieval Jeremy S. De Bonet &, Paul Viola Artificial Intelligence Laboratory Learning & Vision Group 545 Technology Square Massachusetts Institute of Technology . Cambridge, MA 02139 EMAIL: jsdCOaLmit. edu & violaCOaLmit. edu HOMEPAGE: http://www.ai . mit. edu/pr... | 1997 | 111 |
1,316 | Bayesian Robustification for Audio Visual Fusion Javier Movellan * movellanOcogsci.ucsd.edu Department of Cognitive Science University of California, San Diego La Jolla, CA 92092-0515 Paul Mineiro pmineiroOcogsci.ucsd.edu Department of Cognitive Science University of California, San Diego ... | 1997 | 112 |
1,317 | A Neural Network Model of Naive Preference and Filial Imprinting in the Domestic Chick Lucy E. Hadden Department of Cognitive Science University of California, San Diego La Jolla, CA 92093 hadden@cogsci.ucsd.edu Abstract Filial imprinting in domestic chicks is of interest in psychology, biology,... | 1997 | 113 |
1,318 | Shared Context Probabilistic Transducers Yoshua Bengio* Dept. IRO, Samy Bengio t Microcell Labs, Universite de Montreal, Montreal (QC) , Canada, H3C 3J7 bengioyOiro.umontreal.ca 1250, Rene Levesque Ouest, Montreal (QC) , Canada, H3B 4W8 samy.bengioOmicrocell.ca Jean-Fran~ois Isabellet ... | 1997 | 114 |
1,319 | Learning to Schedule Straight-Line Code Eliot Moss, Paul Utgoff, John Cavazos Doina Precup, Darko Stefanovic . Dept. of Compo Sci., Univ. of Mass. Amherst, MA 01003 Abstract Carla Brodley, David Scheeff Sch. of Elec. and Compo Eng. Purdue University W. Lafayette, IN 47907 Program execution... | 1997 | 115 |
1,320 | Approximating Posterior Distributions in Belief Networks using Mixtures Christopher M. Bishop Neil Lawrence Neural Computing Research Group Dept. Computer Science & Applied Mathematics Aston University Binningham, B4 7ET, U.K. Tommi Jaakkola Michael I. Jordan Center for Biological and Comp... | 1997 | 116 |
1,321 | The Canonical Distortion Measure in Feature Space and I-NN Classification Jonathan Baxter*and Peter Bartlett Department of Systems Engineering Australian National University Canberra 0200, Australia {jon,bartlett}@syseng.anu.edu.au Abstract We prove that the Canonical Distortion Measure (CDM) [2... | 1997 | 117 |
1,322 | A Non-parametric Multi-Scale Statistical Model for Natural Images Jeremy S. De Bonet & Paul Viola Artificial Intelligence Laboratory Learning & Vision Group 545 Technology Square Massachusetts Institute of Technology Cambridge, MA 02139 EMAIL: jsd@ai.mit.edu & viola@ai.mit.edu HOMEPAGE: http://w... | 1997 | 118 |
1,323 | A Solution for Missing Data in Recurrent Neural Networks With an Application to Blood Glucose Prediction Volker Tresp and Thomas Briegel * Siemens AG Corporate Technology Otto-Hahn-Ring 6 81730 Miinchen, Germany Abstract We consider neural network models for stochastic nonlinear dynamical ... | 1997 | 119 |
1,324 | A 1,OOO-Neuron System with One Million 7-bit Physical Interconnections Yuzo Hirai Institute of Information Sciences and Electronics University of Tsukuba 1-1-1 Ten-nodai, Tsukuba, Ibaraki 305, Japan e-mail: hirai@is.tsukuba.ac.jp Abstract An asynchronous PDM (Pulse-Density-Modulating) digital ne... | 1997 | 12 |
1,325 | Regularisation in Sequential Learning Algorithms J oao FG de Freitas Cambridge University Engineering Department Cambridge CB2 IPZ England jfgf@eng.cam.ac.uk [Corresponding author] Mahesan Niranjan Cambridge University Engineering Department Cambridge CB2 IPZ England niranjan@eng.cam... | 1997 | 120 |
1,326 | An Improved Policy Iteratioll Algorithm for Partially Observable MDPs Eric A. Hansen Computer Science Department University of Massachusetts Amherst, MA 01003 hansen@cs.umass.edu Abstract A new policy iteration algorithm for partially observable Markov decision processes is presented that is ... | 1997 | 121 |
1,327 | The Asymptotic Convergence-Rate of Q-Iearning es. Szepesvari* Research Group on Artificial Intelligence, "Jozsef Attila" University, Szeged, Aradi vrt. tere 1, Hungary, H-6720 szepes@math.u-szeged.hu Abstract In this paper we show that for discounted MDPs with discount factor, > 1/2 the asymptot... | 1997 | 122 |
1,328 | Learning Human-like Knowledge by Singular Value Decomposition: A Progress Report Thomas K. Landauer Darrell Laham Department of Psychology & Institute of Cognitive Science University of Colorado at Boulder Boulder, CO 80309-0345 {landauer, dlaham}@psych.colorado.edu Peter Foltz Department of Psy... | 1997 | 123 |
1,329 | 2D Observers for Human 3D Object Recognition? Zili Liu NEC Research Institute . Abstract Daniel Kersten University of Minnesota Converging evidence has shown that human object recognition depends on familiarity with the images of an object. Further, the greater the similarity between objects, th... | 1997 | 124 |
1,330 | Recurrent Neural Networks Can Learn to Implement Symbol-Sensitive Counting Paul Rodriguez Department of Cognitive Science University of California, San Diego La Jolla, CA. 92093 prodrigu@cogsci.ucsd.edu Janet Wiles School of Information Technology and Department of Psychology University of... | 1997 | 125 |
1,331 | Modeling acoustic correlations by factor analysis Lawrence Saul and Mazin Rahim {lsaul.mazin}~research.att.com AT&T Labs Research 180 Park Ave, D-130 Florham Park, NJ 07932 Abstract Hidden Markov models (HMMs) for automatic speech recognition rely on high dimensional feature vectors to summar... | 1997 | 126 |
1,332 | MELONET I: Neural Nets for Inventing Baroque-Style Chorale Variations Dominik Hornel dominik@ira.uka.de Institut fur Logik, Komplexitat und Deduktionssysteme Universitat Fridericiana Karlsruhe (TH) Am Fasanengarten 5 D-76128 Karlsruhe, Germany Abstract MELONET I is a multi-scale neural networ... | 1997 | 127 |
1,333 | Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning David J Foster* Centre for Neuroscience Edinburgh University Richard GM Morris Centre for Neuroscience Edinburgh University Abstract Peter Dayan E25-210, MIT Cambridge, MA 02139 We provide a model of the st... | 1997 | 128 |
1,334 | EM Algorithms for PCA and SPCA Sam Roweis· Abstract I present an expectation-maximization (EM) algorithm for principal component analysis (PCA). The algorithm allows a few eigenvectors and eigenvalues to be extracted from large collections of high dimensional data. It is computationally very efficient... | 1997 | 129 |
1,335 | Reinforcement Learning for Continuous Stochastic Control Problems Remi Munos CEMAGREF, LISC, Pare de Tourvoie, BP 121, 92185 Antony Cedex, FRANCE. Rerni.Munos@cemagref.fr Paul Bourgine Ecole Polyteclmique, CREA, 91128 Palaiseau Cedex, FRANCE. Bourgine@poly.polytechnique.fr Abstract This... | 1997 | 13 |
1,336 | Hierarchical Non-linear Factor Analysis and Topographic Maps Zoubin Ghahramani and Geoffrey E. Hinton Dept. of Computer Science, University of Toronto Toronto, Ontario, M5S 3H5, Canada http://www.cs.toronto.edu/neuron/ {zoubin,hinton}Ocs.toronto.edu Abstract We first describe a hierarchical, gen... | 1997 | 130 |
1,337 | Learning Path Distributions using Nonequilibrium Diffusion Networks Paul Mineiro * pmineiro~cogsci.ucsd.edu Department of Cognitive Science University of California, San Diego La Jolla, CA 92093-0515 Javier Movellan movellan~cogsci.ucsd.edu Department of Cognitive Science University of Cal... | 1997 | 131 |
1,338 | Unsupervised On-Line Learning of Decision Trees for Hierarchical Data Analysis Marcus Held and Joachim M. Buhmann Rheinische Friedrich-Wilhelms-U niversitat Institut fUr Informatik III, ROmerstraBe 164 D-53117 Bonn, Germany email: {held.jb}.cs.uni-bonn.de WWW: http://www-dbv.cs.uni-bonn.de Ab... | 1997 | 132 |
1,339 | Recovering Perspective Pose with a Dual Step EM Algorithm Andrew D.J. Cross and Edwin R. Hancock, Department of Computer Science, University of York, York, YOl 5DD, UK. Abstract This paper describes a new approach to extracting 3D perspective structure from 2D point-sets. The novel feature is to... | 1997 | 133 |
1,340 | Learning to Order Things William W. Cohen Robert E. Schapire Yoram Singer AT&T Labs, 180 Park Ave., Florham Park, NJ 07932 { wcohen,schapire,singer} @research.att.com Abstract There are many applications in which it is desirable to order rather than classify instances. Here we consider the problem of ... | 1997 | 134 |
1,341 | Analog VLSI Model of Intersegmental Coordination With Nearest-Neighbor Coupling Girish N. Patel girish@ece.gatech.edu Jeremy H. Holleman jeremy@ece.gatech.edu Stephen P. De Weerth steved@ece.gatech.edu School of Electrical and Computer Engineering Georgia Institute of Technology Atlanta, G... | 1997 | 135 |
1,342 | Globally Optimal On-line Learning Rules Magnus Rattray*and David Saadt Department of Computer Science & Applied Mathematics, Aston University, Birmingham B4 7ET, UK. Abstract We present a method for determining the globally optimal on-line learning rule for a soft committee machine under a statistical... | 1997 | 136 |
1,343 | Ensemble Learning for Multi-Layer Networks David Barber· Christopher M. Bishopt Neural Computing Research Group Department of Applied Mathematics and Computer Science Aston University, Birmingham B4 7ET, U.K. http://www.ncrg.aston.ac.uk/ Abstract Bayesian treatments of learning in neural netw... | 1997 | 137 |
1,344 | Estimating Dependency Structure as a Hidden Variable Marina Meill and Michael I. Jordan {mmp, jordan}@ai.mit.edu Center for Biological & Computational Learning Massachusetts Institute of Technology 45 Carleton St. E25-201 Cambridge, MA 02142 Abstract This paper introduces a probability model,... | 1997 | 138 |
1,345 | Ensemble and Modular Approaches for Face Detection: a Comparison Raphael Feraud ·and Olivier Bernier t France-Telecom CNET DTLjDLI Technopole Anticipa, 2 avenue Pierre Marzin, 22307 Lannion cedex, FRANCE Abstract A new learning model based on autoassociative neural networks is developped and applie... | 1997 | 139 |
1,346 | Intrusion Detection with Neural Networks Jake Ryan* Department of Computer Sciences The University of Texas at Austin Austin, TX 78712 raven@cs.utexas.edu Meng-Jang Lin Department of Electrical and Computer Engineering The University of Texas at Austin Austin, TX 78712 mj@orac.ece .utexas.... | 1997 | 14 |
1,347 | Stacked Density Estimation Padhraic Smyth * Information and Computer Science University of California, Irvine CA 92697-3425 smythCics.uci.edu David Wolpert NASA Ames Research Center Caelum Research MS 269-2, Mountain View, CA 94035 dhwCptolemy.arc.nasa.gov Abstract In this paper, the... | 1997 | 140 |
1,348 | An Analog VLSI Neural Network for Phasebased Machine Vision KwokFaiHui Bertram E. Shi Department of Electrical and Electronic Engineering Fujitsu Microelectronics Pacific Asia Ltd. Hong Kong University of Science and Technology Clear Water Bay, Kowloon, Hong Kong Suite 1015-20, Tower 1 Gra... | 1997 | 141 |
1,349 | Combining Classifiers Using Correspondence Analysis Christopher J. Merz Dept. of Information and Computer Science University of California, Irvine, CA 92697-3425 U.S.A. cmerz@ics.uci.edu Category: Algorithms and Architectures. Abstract Several effective methods for improving the performance of a... | 1997 | 142 |
1,350 | Synchronized Auditory and Cognitive 40 Hz Attentional Streams, and the Impact of Rhythmic Expectation on Auditory Scene Analysis Bill Baird Dept Mathematics, U.C.Berkeley, Berkeley, Ca. 94720. baird@math.berkeley.edu Abstract We have developed a neural network architecture that implements a theory ... | 1997 | 143 |
1,351 | From Regularization Operators to Support Vector Kernels Alexander J. Smola GMDFIRST Rudower Chaussee 5 12489 Berlin, Germany smola@first.gmd.de Bernhard Scholkopf Max-Planck-Institut fur biologische Kybernetik Spemannstra.Be 38 72076 Ttibingen, Germany bs-@mpik-tueb.mpg.de Abstract ... | 1997 | 144 |
1,352 | Two Approaches to Optimal Annealing Todd K. Leen Dept of Compo Sci. & Engineering Oregon Graduate Institute of Science and Technology P.O.Box 91000, Portland, Oregon 97291-1000 tleen@cse.ogi.edu Bernhard Schottky and David Saad Neural Computing Research Group Dept of Compo Sci. & Appl. Mat... | 1997 | 145 |
1,353 | Bidirectional Retrieval from Associative Memory Friedrich T. Sommer and Gunther Palm Department of Neural Information Processing University of Ulm, 89069 Ulm, Germany {sommer,palm}~informatik.uni-ulm.de Abstract Similarity based fault tolerant retrieval in neural associative memories (N AM) has not... | 1997 | 146 |
1,354 | Using Helmholtz Machines to analyze multi-channel neuronal recordings Virginia R. de Sa desa@phy.ucsf.edu R. Christopher deC harms decharms@phy.ucsf.edu Michael M. Merzenich merz@phy.ucsf.edu Sloan Center for Theoretical Neurobiology and W. M. Keck Center for Integrative Neuroscience Unive... | 1997 | 147 |
1,355 | Silicon Retina with Adaptive Filtering Properties Shih-Chii Liu Computation and Neural Systems 136-93 California Institute of Technology Pasadena, CA 91125 shih@pcmp.caltech.edu Abstract This paper describes a small, compact circuit that captures the temporal and adaptation properties both of... | 1997 | 148 |
1,356 | Statistical Models of Conditioning Peter Dayan* Brain & Cognitive Sciences E25-2IDMIT Cambridge, MA 02139 Abstract Theresa Long 123 Hunting Cove Williamsburg, VA 23185 Conditioning experiments probe the ways that animals make predictions about rewards and punishments and use those predictions... | 1997 | 149 |
1,357 | Incorporating Contextual Information in White Blood Cell Identification Xubo Song* Department of Electrical Engineering California Institute of Technology Pasadena, CA 91125 xubosong@fire.work.caltech.edu Yaser Abu-Mostafa Dept. of Electrical Engineering and Dept. of Computer Science Calif... | 1997 | 15 |
1,358 | The Efficiency and The Robustness of Natural Gradient Descent Learning Rule Howard Hua Yang Department of Computer Science Oregon Graduate Institute PO Box 91000, Portland, OR 97291, USA hyang@cse.ogi.edu Shun-ichi Amari Lab. for Information Synthesis RlKEN Brain Science Institute Wako-shi... | 1997 | 150 |
1,359 | Function Approximat.ion with the Sweeping Hinge Algorithm Don R. Hush, Fernando Lozano Dept. of Elec. and Compo Engg. University of New Mexico Albuquerque, NM 87131 Abstract Bill Horne MakeWaves, Inc. 832 Valley Road Watchung, NJ 07060 We present a computationally efficient algorithm fo... | 1997 | 16 |
1,360 | Correlates of Attention in a Model of Dynamic Visual Recognition* . Rajesh P. N. Rao Department of Computer Science University of Rochester Rochester, NY 14627 rao@cs.rochester.edu Abstract Given a set of objects in the visual field, how does the the visual system learn to attend to a part... | 1997 | 17 |
1,361 | Mapping a manifold of perceptual observations Joshua B. Tenenbaum Department of Brain and Cognitive Sciences Massachusetts Institute of Technology, Cambridge, MA 02139 jbt@psyche.mit.edu Abstract Nonlinear dimensionality reduction is formulated here as the problem of trying to find a Euclidean feat... | 1997 | 18 |
1,362 | The Rectified Gaussian Distribution N. D. Socci, D. D. Lee and H. S. Seung Bell Laboratories, Lucent Technologies Murray Hill, NJ 07974 {ndslddleelseung}~bell-labs.com Abstract A simple but powerful modification of the standard Gaussian distribution is studied. The variables of the rectified Gaussian ... | 1997 | 19 |
1,363 | A Revolution: Belief Propagation Graphs With Cycles Brendan J. Frey· http://wvw.cs.utoronto.ca/-frey Department of Computer Science University of Toronto David J. C. MacKay http://vol.ra.phy.cam.ac.uk/mackay Department of Physics, Cavendish Laboratory Cambridge University Abstract • In ... | 1997 | 2 |
1,364 | RCC Cannot Compute Certain FSA, Even with Arbitrary Transfer Functions Mark Ring RWCP Theoretical Foundation GMD Laboratory GMD German National Research Center for Information Technology Schloss Birlinghoven D-53 754 Sankt Augustin, Germany email: Mark.Ring@GMD.de Abstract Existing proofs dem... | 1997 | 20 |
1,365 | Learning Generativ e Mo dels with the UpPropagation Algorithm JongHo on Oh and H Sebastian Seung Bell Labs Lucen t T ec hnologies Murra y Hill NJ fjhohseunggbell l abs c om Abstract Uppropagation is an algorithm for in v e... | 1997 | 21 |
1,366 | Local Dimensionality Reduction Stefan Schaal 1,2,4 sschaal@usc.edu http://www-slab.usc.edulsschaal Sethu Vijayakumar 3, I sethu@cs.titech.ac.jp http://ogawawww.cs.titech.ac.jp/-sethu Christopher G. Atkeson 4 cga@cc.gatech.edu http://www.cc.gatech.edul fac/Chris.Atkeson IERATO Kawato Dyn... | 1997 | 22 |
1,367 | Adaptation in Speech Motor Control John F. Houde* UCSF Keck Center Box 0732 San Francisco, CA 94143 houde~phy.ucsf.edu Michael I. Jordan MIT Dept. of Brain and Cognitive Sci. EI0-034D Cambridge, MA 02139 jordan~psyche.mit.edu Abstract Human subjects are known to adapt their motor beh... | 1997 | 23 |
1,368 | An Incremental Nearest Neighbor Algorithm with Queries Joel Ratsaby· N.A.P. Inc. Hollis, New York Abstract We consider the general problem of learning multi-category classification from labeled examples. We present experimental results for a nearest neighbor algorithm which actively selects samples... | 1997 | 24 |
1,369 | Competitive On-Line Linear Regression V. Vovk pepartment of Computer Science Royal Holloway, University of London Egham, Surrey TW20 OEX, UK vovkGdcs.rhbnc.ac.uk Abstract We apply a general algorithm for merging prediction strategies (the Aggregating Algorithm) to the problem of linear regressio... | 1997 | 25 |
1,370 | Nonlinear Markov Networks for Continuous Variables Reimar Hofmann and Volker Tresp* Siemens AG, Corporate Technology Information and Communications 81730 Munchen, Germany Abstract We address the problem oflearning structure in nonlinear Markov networks with continuous variables. This can be view... | 1997 | 26 |
1,371 | Online learning from finite training sets in nonlinear networks Peter Sollich* Department of Physics University of Edinburgh Edinburgh ERg 3JZ, U.K. P.Sollich~ed.ac.uk David Barbert Department of Applied Mathematics Aston University Birmingham B4 7ET, U.K. D.Barber~aston . ac.uk Abst... | 1997 | 27 |
1,372 | Automated Aircraft Recovery via Reinforcement Learning: Initial Experiments Jeffrey F. Monaco Barron Associates, Inc. Jordan Building 1160 Pepsi Place, Suite 300 Charlottesville VA 22901 monaco@bainet.com David G. Ward Barron Associates, Inc. Jordan Building 1160 Pepsi Place, Suite 3... | 1997 | 28 |
1,373 | Adaptive choice of grid and time reinforcement learning Stephan Pareigis stp@numerik.uni-kiel.de Lehrstuhl Praktische Mathematik Christian-Albrechts-U ni versitiit Kiel Kiel, Germany Abstract • In We propose local error estimates together with algorithms for adaptive a-posteriori grid and tim... | 1997 | 29 |
1,374 | Dynamic Stochastic Synapses as Computational Units Wolfgang Maass Institute for Theoretical Computer Science Technische Universitat Graz, A-B01O Graz, Austria. email: maass@igi.tu-graz.ac.at Abstract Anthony M. Zador The Salk Institute La Jolla, CA 92037, USA email: zador@salk.edu In... | 1997 | 3 |
1,375 | Graph Matching with Hierarchical Discrete Relaxation Richard C. Wilson and Edwin R. Hancock Department of Computer Science, University of York York, YOl 5DD, UK. Abstract Our aim in this paper is to develop a Bayesian framework for matching hierarchical relational models. The goal is to make discrete ... | 1997 | 30 |
1,376 | Minimax and Hamiltonian Dynamics of Excitatory-Inhibitory Networks H. S. Seung, T. J. Richardson Bell Labs, Lucent Technologies Murray Hill, NJ 07974 {seungltjr}~bell-labs.com J. C. Lagarias AT&T Labs-Research 180 Park Ave. D-130 Florham Park, NJ 07932 jcl~research.att.com J. J. Hopfiel... | 1997 | 31 |
1,377 | Hybrid NNIHMM-Based Speech Recognition with a Discriminant Neural Feature Extraction Daniel Willett, Gerhard RigoU Department of Comfuter Science Faculty of Electrica Engineering Gerhard-Mercator-University Duisburg, Germany { willett,rigoll}@tb9-ti.uni-duisburg.de Abstract In this paper, we pre... | 1997 | 32 |
1,378 | 2D Observers for Human 3D Object Recognition? Zili Liu NEC Research Institute . Abstract Daniel Kersten University of Minnesota Converging evidence has shown that human object recognition depends on familiarity with the images of an object. Further, the greater the similarity between objects, th... | 1997 | 33 |
1,379 | A Neural Net w ork Based Head T rac king System D. D. Lee and H. S. Seung Bell Lab oratories, Lucen t T ec hnologies 00 Moun tain Av e. Murra y Hill, NJ 0 fddlee|seungg@b el l-l ab s.c om Abstract W e ha v e constructed... | 1997 | 34 |
1,380 | Perturbative M-Sequences for Auditory Systems Identification Mark Kvale and Christoph E. Schreiner· Sloan Center for Theoretical Neurobiology, Box 0444 University of California, San Francisco 513 Parnassus Ave, San Francisco, CA 94143 Abstract In this paper we present a new method for studying audi... | 1997 | 35 |
1,381 | Bach in a Box - Real-Time Harmony Randall R. Spangler and Rodney M. Goodman* Computation and Neural Systems California Institute of Technology, 136-93 Pasadena, CA 91125 Jim Hawkinst 88B Milton Grove Stoke Newington, London N16 8QY, UK Abstract We describe a system for learning J. S. Bach's r... | 1997 | 36 |
1,382 | Reinforcement Learning for Continuous Stochastic Control Problems Remi Munos CEMAGREF, LISC, Pare de Tourvoie, BP 121, 92185 Antony Cedex, FRANCE. Rerni.Munos@cemagref.fr Paul Bourgine Ecole Polyteclmique, CREA, 91128 Palaiseau Cedex, FRANCE. Bourgine@poly.polytechnique.fr Abstract This... | 1997 | 37 |
1,383 | Learning nonlinear overcomplete representations for efficient coding Michael S. Lewicki lewicki~salk.edu Terrence J. Sejnowski terry~salk.edu Howard Hughes Medical Institute Computational Neurobiology Lab The Salk Institute 10010 N. Torrey Pines Rd. La Jolla, CA 92037 Abstract We der... | 1997 | 38 |
1,384 | Receptive field formation in natural scene environments: comparison of single cell learning rules Brian S. Blais N.lntrator Brown University Physics Department Providence, Rl 02912 School of Mathematical Sciences Tel-Aviv University Ramat-Aviv, 69978 ISRAEL H. Shouval Institute for Brai... | 1997 | 39 |
1,385 | Self-similarity properties of natural images ANTONIO TURIEL; GERMAN MATOt NESTOR PARGA t Departamento de Fisica Te6rica. Universidad AutOnoma de Madrid Cantoblanco, 28049 Madrid, Spain and JEAN-PIERRE N ADAL§ Laboratoire de Physique Statistique de I 'E. N.S. , Ecole Normale Superieure 24, rue Lhomond,... | 1997 | 4 |
1,386 | Hippocampal Model of Rat Spatial Abilities Using Temporal Difference Learning David J Foster* Centre for Neuroscience Edinburgh University Richard GM Morris Centre for Neuroscience Edinburgh University Abstract Peter Dayan E25-210, MIT Cambridge, MA 02139 We provide a model of the st... | 1997 | 40 |
1,387 | The Error Coding and Substitution PaCTs GARETH JAMES and TREVOR HASTIE Department of Statistics, Stanford University Abstract A new class of plug in classification techniques have recently been developed in the statistics and machine learning literature. A plug in classification technique (PaCT) is a ... | 1997 | 41 |
1,388 | Modeling Complex Cells in an A wake Macaque During Natural Image Viewing William E. Vinje vinjeCsocrates.berkeley.edu Department of Molecular and Cellular Biology, Neurobiology Division University of California, Berkeley Berkeley, CA, 94720 Jack L. Gallant gallantCsocrates.berkeley.edu Dep... | 1997 | 42 |
1,389 | Generalization in decision trees and DNF: Does size matter? Mostefa Golea\ Peter L. Bartletth , Wee Sun Lee2 and Llew Mason1 1 Department of Systems Engineering Research School of Information Sciences and Engineering Australian National University Canberra, ACT, 0200, Australia 2 School of Elect... | 1997 | 43 |
1,390 | Local Dimensionality Reduction Stefan Schaal 1,2,4 sschaal@usc.edu http://www-slab.usc.edulsschaal Sethu Vijayakumar 3, I sethu@cs.titech.ac.jp http://ogawawww.cs.titech.ac.jp/-sethu Christopher G. Atkeson 4 cga@cc.gatech.edu http://www.cc.gatech.edul fac/Chris.Atkeson IERATO Kawato Dyn... | 1997 | 44 |
1,391 | A mathematical model of axon guidance by diffusible factors Geoffrey J. Goodhill Georgetown Institute for Cognitive and Computational Sciences Georgetown University Medical Center 3970 Reservoir Road Washington DC 20007 geoff@giccs.georgetown.edu Abstract In the developing nervous system, gra... | 1997 | 45 |
1,392 | 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 | 46 |
1,393 | Instabilities in Eye Movement Control: A Model of Periodic Alternating Nystagmus ErnstR. Dow Center for Biophysics and Computational Biology, Beckman Institute University of Illinois at UrbanaChampaign,Urbana, IL 61801. edow@uiuc.edu Thomas J. Anastasio Department of Molecular and Integrative... | 1997 | 47 |
1,394 | Neural Basis of Object-Centered Representations Sophie Deneve and Alexandre Pouget Georgetown Institute for Computational and Cognitive Sciences Georgetown University Washington, DC 20007-2197 sophie, alex@giccs.georgetown.edu Abstract We present a neural model that can perform eye movements to ... | 1997 | 48 |
1,395 | Modelling Seasonality and Trends in Daily Rainfall Data Peter M Williams School of Cognitive and Computing Sciences University of Sussex Falmer, Brighton BN1 9QH, UK. email: peterw@cogs.susx.ac.uk Abstract This paper presents a new approach to the problem of modelling daily rainfall using neu... | 1997 | 49 |
1,396 | Multiple Threshold Neural Logic Vasken Bohossian Jehoshua Bruck California Institute of Technology Mail Code 136-93 Pasadena, CA 91125 ~mail: {vincent, bruck}~paradise.caltech.edu Abstract We introduce a new Boolean computing element related to the Linear Threshold element, which is the Boolean ... | 1997 | 5 |
1,397 | The Storage Capacity of a Fully-Connected Committee Machine Yuansheng Xiong Department of Physics, Pohang Institute of Science and Technology, Hyoja San 31, Pohang, Kyongbuk, Korea xiongOgalaxy.postech.ac.kr Chulan Kwon Department of Physics, Myong Ji University, Yongin, Kyonggi, Korea ckwonO... | 1997 | 50 |
1,398 | Structural Risk Minimization for Nonparametric Time Series Prediction Ron Meir* Department of Electrical Engineering Technion, Haifa 32000, Israel rmeir@dumbo.technion.ac.il Abstract The problem of time series prediction is studied within the uniform convergence framework of Vapnik and Chervonenkis... | 1997 | 51 |
1,399 | Selecting weighting factors in logarithmic opinion pools Tom Heskes Foundation for Neural Networks, University of Nijmegen Geert Grooteplein 21, 6525 EZ Nijmegen, The Netherlands tom@mbfys.kun.nl Abstract A simple linear averaging of the outputs of several networks as e.g. in bagging [3], seems ... | 1997 | 52 |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.