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NIPS*2000
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| Shape Context: A New Descriptor for Shape Matching and Object Recognition Serge Belongie, Jitendra Malik, Jan Puzicha [ps][pdf][djvu] Sparse Greedy Gaussian Process Regression Alex J. Smola, Peter Bartlett [ps][pdf][djvu] Direct Classification with Indirect Data Timothy X Brown [ps][pdf][djvu] Reinforcement Learning with Function Approximation Converges to a Region Geoffrey J. Gordon [ps][pdf][djvu] Vicinal Risk Minimization Olivier Chapelle, Jason Weston, Léon Bottou, Vladimir Vapnik [ps][pdf][djvu] Overfitting in Neural Nets: Backpropagation, Conjugate Gradient, and Early Stopping Rich Caruana, Steve Lawrence, Lee Giles [ps][pdf][djvu] The Use of MDL to Select among Computational Models of Cognition In J. Myung, Mark A. Pitt, Shaobo Zhang, Vijay Balasubramanian [ps][pdf][djvu] Learning Joint Statistical Models for Audio-Visual Fusion and Segregation John W. Fisher III, Trevor Darrell, William T. Freeman, Paul Viola [ps][pdf][djvu] Convergence of Large Margin Separable Linear Classification Tong Zhang [ps][pdf][djvu] Hippocampally-Dependent Consolidation in a Hierarchical Model of Neocortex Szabolcs Káli, Peter Dayan [ps][pdf][djvu] A Productive, Systematic Framework for the Representation of Visual Structure Shimon Edelman, Nathan Intrator [ps][pdf][djvu] Sparse Representation for Gaussian Process Models Lehel Csató, Manfred Opper [ps][pdf][djvu] What Can a Single Neuron Compute? Blaise Agüera y Arcas, Adrienne L. Fairhall, William Bialek [ps][pdf][djvu] Noise Suppression Based on Neurophysiologically-motivated SNR Estimation for Robust Speech Recognition Jürgen Tchorz, Michael Kleinschmidt, Birger Kollmeier [ps][pdf][djvu] One Microphone Source Separation Sam T. Roweis [ps][pdf][djvu] Recognizing Hand-written Digits Using Hierarchical Products of Experts Guy Mayraz, Geoffrey E. Hinton [ps][pdf][djvu] Decomposition of Reinforcement Learning for Admission Control of Self-Similar Call Arrival Processes Jakob Carlström [ps][pdf][djvu] Model Complexity, Goodness of Fit and Diminishing Returns Igor V. Cadez, Padhraic Smyth [ps][pdf][djvu] Modelling Spatial Recall, Mental Imagery and Neglect Suzanna Becker, Neil Burgess [ps][pdf][djvu] Regularization with Dot-Product Kernels Alex J. Smola, Zoltán L. Óvári, Robert C. Williamson [ps][pdf][djvu] Weak Learners and Improved Rates of Convergence in Boosting Shie Mannor, Ron Meir [ps][pdf][djvu] A New Approximate Maximal Margin Classification Algorithm Claudio Gentile [ps][pdf][djvu] Large Scale Bayes Point Machines Ralf Herbrich, Thore Graepel [ps][pdf][djvu] Explaining Away in Weight Space Peter Dayan, Sham Kakade [ps][pdf][djvu] Gaussianization Scott Saobing Chen, Ramesh A. Gopinath [ps][pdf][djvu] A Mathematical Programming Approach to the Kernel Fisher Algorithm Sebastian Mika, Gunnar Rätsch, Klaus-Robert Müller [ps][pdf][djvu] Efficient Learning of Linear Perceptrons Shai Ben-David, Hans Ulrich Simon [ps][pdf][djvu] Dendritic Compartmentalization Could Underlie Competition and Attentional Biasing of Simultaneous Visual Stimuli Kevin A. Archie, Bartlett W. Mel [ps][pdf][djvu] Divisive and Subtractive Mask Effects: Linking Psychophysics and Biophysics Barbara Zenger, Christof Koch [ps][pdf][djvu] Bayes Networks on Ice: Robotic Search for Antarctic Meteorites Liam Pedersen, Dimi Apostolopoulos, Red Whittaker [ps][pdf][djvu] Rate-coded Restricted Boltzmann Machines for Face Recognition Yee Whye Teh, Geoffrey E. Hinton [ps][pdf][djvu] High-temperature Expansions for Learning Models of Nonnegative Data Oliver B. Downs [ps][pdf][djvu] From Mixtures of Mixtures to Adaptive Transform Coding Cynthia Archer, Todd K. Leen [ps][pdf][djvu] A Comparison of Image Processing Techniques for Visual Speech Recognition Applications Michael S. Gray, Terrence J. Sejnowski, Javier R. Movellan [ps][pdf][djvu] Permitted and Forbidden Sets in Symmetric Threshold-Linear Networks Richard H.R. Hahnloser, H. Sebastian Seung [ps][pdf][djvu] Hierarchical Memory-Based Reinforcement Learning Natalia Hernandez-Gardiol, Sridhar Mahadevan [ps][pdf][djvu] New Approaches Towards Robust and Adaptive Speech Recognition Hervé Bourlard, Samy Bengio, Katrin Weber [ps][pdf][djvu] Active Inference in Concept Learning Jonathan D. Nelson, Javier R. Movellan [ps][pdf][djvu] On Iterative Krylov-Dogleg Trust-Region Steps for Solving Neural Networks Nonlinear Least Squares Problems Eiji Mizutani, James W. Demmel [ps][pdf][djvu] The Interplay of Symbolic and Subsymbolic Processes in Anagram Problem Solving David B. Grimes, Michael C. Mozer [ps][pdf][djvu] Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task Brian Sallans, Geoffrey E. Hinton [ps][pdf][djvu] On Reversing Jensen's Inequality Tony Jebara, Alex Pentland [ps][pdf][djvu] Ensemble Learning and Linear Response Theory for ICA Pedro A.d.F.R. Højen-Sørensen, Ole Winther, Lars Kai Hansen [ps][pdf][djvu] Constrained Independent Component Analysis Wei Lu, Jagath C. Rajapakse [ps][pdf][djvu] Automated State Abstraction for Options using the U-Tree Algorithm Anders Jonsson, Andrew G. Barto [ps][pdf][djvu] Redundancy and Dimensionality Reduction in Sparse-Distributed Representations of Natural Objects in Terms of Their Local Features Penio S. Penev [ps][pdf][djvu] On a Connection between Kernel PCA and Metric Multidimensional Scaling Christopher K. I. Williams [ps][pdf][djvu] Analysis of Bit Error Probability of Direct-Sequence CDMA Multiuser Demodulators Toshiyuki Tanaka [ps][pdf][djvu] Regularized Winnow Methods Tong Zhang [ps][pdf][djvu] Sex with Support Vector Machines Baback Moghaddam, Ming-Hsuan Yang [ps][pdf][djvu] Higher-Order Statistical Properties Arising from the Non-Stationarity of Natural Signals Lucas Parra, Clay Spence, Paul Sajda [ps][pdf][djvu] Four-legged Walking Gait Control Using a Neuromorphic Chip Interfaced to a Support Vector Learning Algorithm Susanne Still, Bernhard Schölkopf, Klaus Hepp, Rodney J. Douglas [ps][pdf][djvu] Universality and Individuality in a Neural Code Elad Schneidman, Naama Brenner, Naftali Tishby, Robert R. de Ruyter van Steveninck, William Bialek [ps][pdf][djvu] Learning Sparse Image Codes using a Wavelet Pyramid Architecture Bruno A. Olshausen, Phil Sallee, Michael S. Lewicki [ps][pdf][djvu] Multiple Timescales of Adaptation in a Neural Code Adrienne L. Fairhall, Geoffrey D. Lewen, William Bialek, Robert R. de Ruyter van Steveninck [ps][pdf][djvu] #7 Mario F. Simoni, Gennady S. Cymbalyuk, Michael Q. Sorensen, Ronald L. Calabrese, Stephen P. DeWeerth [ps][pdf][djvu] Speech Denoising and Dereverberation Using Probabilistic Models Hagai Attias, John C. Platt, Alex Acero, Li Deng [ps][pdf][djvu] Machine Learning for Video-Based Rendering Arno Schödl, Irfan Essa [ps][pdf][djvu] Structure Learning in Human Causal Induction Joshua B. Tenenbaum, Thomas L. Griffiths [ps][pdf][djvu] Feature Correspondence: A Markov Chain Monte Carlo Approach Frank Dellaert, Steven M. Seitz, Sebastian Thrun, Charles Thorpe [ps][pdf][djvu] Learning Winner-take-all Competition Between Groups of Neurons in Lateral Inhibitory Networks Xiaohui Xie, Richard H.R. Hahnloser, H. Sebastian Seung [ps][pdf][djvu] Second Order Approximations for Probability Models Hilbert J. Kappen, Wim Wiegerinck [ps][pdf][djvu] A Gradient-Based Boosting Algorithm for Regression Problems Richard S. Zemel, Toniann Pitassi [ps][pdf][djvu] Automatic Choice of Dimensionality for PCA Thomas P. Minka [ps][pdf][djvu] Sequentially Fitting ``Inclusive'' Trees for Inference in Noisy-OR Networks Brendan J. Frey, Relu Patrascu, Tommi S. Jaakkola, Jodi Moran [ps][pdf][djvu] Foundations for a Circuit Complexity Theory of Sensory Processing Robert A. Legenstein, Wolfgang Maass [ps][pdf][djvu] The Unscented Particle Filter Rudolph van der Merwe, Arnaud Doucet, Nando de Freitas, Eric Wan [ps][pdf][djvu] From Margin to Sparsity Thore Graepel, Ralf Herbrich, Robert C. Williamson [ps][pdf][djvu] Error-correcting Codes on a Bethe-like Lattice Renato Vicente, David Saad, Yoshiyuki Kabashima [ps][pdf][djvu] Generalizable Singular Value Decomposition for Ill-posed Datasets Ulrik Kjems, Lars Kai Hansen, Stephen C. Strother [ps][pdf][djvu] A PAC-Bayesian Margin Bound for Linear Classifiers: Why SVMs work Ralf Herbrich, Thore Graepel [ps][pdf][djvu] Beyond Maximum Likelihood and Density Estimation: A Sample-Based Criterion for Unsupervised Learning of Complex Models Sepp Hochreiter, Michael C. Mozer [ps][pdf][djvu] Exact Solutions to Time-Dependent MDPs Justin A. Boyan, Michael L. Littman [ps][pdf][djvu] Algebraic Information Geometry for Learning Machines with Singularities Sumio Watanabe [ps][pdf][djvu] Some New Bounds on the Generalization Error of Combined Classifiers Vladimir Koltchinskii, Dmitriy Panchenko, Fernando Lozano [ps][pdf][djvu] Probabilistic Semantic Video Indexing Milind R. Naphade, Igor Kozintsev, Thomas Huang [ps][pdf][djvu] A Neural Probabilistic Language Model Yoshua Bengio, Réjean Ducharme, Pascal Vincent [ps][pdf][djvu] APRICODD: Approximate Policy Construction Using Decision Diagrams Robert St-Aubin, Jesse Hoey, Craig Boutilier [ps][pdf][djvu] Tree-Based Modeling and Estimation of Gaussian Processes on Graphs with Cycles Martin J. Wainwright, Erik B. Sudderth, Alan S. Willsky [ps][pdf][djvu] Robust Reinforcement Learning Jun Morimoto, Kenji Doya [ps][pdf][djvu] The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity David Cohn, Thomas Hofmann [ps][pdf][djvu] Natural Sound Statistics and Divisive Normalization in the Auditory System Odelia Schwartz, Eero P. Simoncelli [ps][pdf][djvu] Active Learning for Parameter Estimation in Bayesian Networks Simon Tong, Daphne Koller [ps][pdf][djvu] A Silicon Primitive for Competitive Learning David Hsu, Miguel Figueroa, Chris Diorio [ps][pdf][djvu] The Early Word Catches the Weights Mark A. Smith, Garrison W. Cottrell, Karen L. Anderson [ps][pdf][djvu] The Kernel Trick for Distances Bernhard Schölkopf [ps][pdf][djvu] Finding the Key to a Synapse Thomas Natschläger, Wolfgang Maass [ps][pdf][djvu] Support Vector Novelty Detection Applied to Jet Engine Vibration Spectra Paul Hayton, Bernhard Schölkopf, Lionel Tarassenko, Paul Anuzis [ps][pdf][djvu] Kernel-Based Reinforcement Learning in Average-Cost Problems: An Application to Optimal Portfolio Choice Dirk Ormoneit, Peter Glynn [ps][pdf][djvu] Partially Observable SDE Models for Image Sequence Recognition Tasks Javier R. Movellan, Paul Mineiro, Ruth J. Williams [ps][pdf][djvu] Mixtures of Gaussian Processes Volker Tresp [ps][pdf][djvu] A Tighter Bound for Graphical Models Martijn A. R. Leisink, Hilbert J. Kappen [ps][pdf][djvu] FaceSync: A Linear Operator for Measuring Synchronization of Video Facial Images and Audio Tracks Malcolm Slaney, Michele Covell [ps][pdf][djvu] Algorithms for Non-negative Matrix Factorization Daniel D. Lee, H. Sebastian Seung [ps][pdf][djvu] Sparsity of Data Representation of Optimal Kernel Machine and Leave-one-out Estimator Adam Kowalczyk [ps][pdf][djvu] The Kernel Gibbs Sampler Thore Graepel, Ralf Herbrich [ps][pdf][djvu] Who Does What? A Novel Algorithm to Determine Function Localization Ranit Aharonov-Barki, Isaac Meilijson, Eytan Ruppin [ps][pdf][djvu] Factored Semi-Tied Covariance Matrices Mark J.F. Gales [ps][pdf][djvu] Computing with Finite and Infinite Networks Ole Winther [ps][pdf][djvu] Place Cells and Spatial Navigation Based on 2D Visual Feature Extraction, Path Integration, and Reinforcement Learning Angelo Arleo, Fabrizio Smeraldi, Stéphane Hug, Wulfram Gerstner [ps][pdf][djvu] Learning Curves for Gaussian Processes Regression: A Framework for Good Approximations Dorthe Malzahn, Manfred Opper [ps][pdf][djvu] Active Support Vector Machine Classification Olvi L. Mangasarian, David R. Musicant [ps][pdf][djvu] Processing of Time Series by Neural Circuits with Biologically Realistic Synaptic Dynamics Thomas Natschläger, Wolfgang Maass, Eduardo D. Sontag, Anthony Zador [ps][pdf][djvu] Keeping Flexible Active Contours on Track using Metropolis Updates Trausti T. Kristjansson, Brendan J. Frey [ps][pdf][djvu] Balancing Multiple Sources of Reward in Reinforcement Learning Christian R. Shelton [ps][pdf][djvu] A Variational Mean-Field Theory for Sigmoidal Belief Networks Chiranjib Bhattacharyya, S. Sathiya Keerthi [ps][pdf][djvu] Incorporating Second-Order Functional Knowledge for Better Option Pricing Charles Dugas, Yoshua Bengio, Françoi Élisle, Claude Nadeau, René Garcia [ps][pdf][djvu] An Adaptive Metric Machine for Pattern Classification Carlotta Domeniconi, Jing Peng, Dimitrios Gunopulos [ps][pdf][djvu] Programmable Reinforcement Learning Agents David Andre, Stuart J. Russell [ps][pdf][djvu] Learning Switching Linear Models of Human Motion Vladimir Pavlovic, James M. Rehg, John MacCormick [ps][pdf][djvu] Feature Selection for SVMs Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik [ps][pdf][djvu] Position Variance, Recurrence and Perceptual Learning Zhaoping Li, Peter Dayan [ps][pdf][djvu] Incremental and Decremental Support Vector Machine Learning Gert Cauwenberghs, Tomaso Poggio [ps][pdf][djvu] Adaptive Object Representation with Hierarchically-Distributed Memory Sites Bosco S. Tjan [ps][pdf][djvu] Accumulator Networks: Suitors of Local Probability Propagation Brendan J. Frey, Anitha Kannan [ps][pdf][djvu] Learning Segmentation by Random Walks Marina Meila, Jianbo Shi [ps][pdf][djvu] The Manhattan World Assumption: Regularities in Scene Statistics which Enable Bayesian Inference James M. Coughlan, Allen L. Yuille [ps][pdf][djvu] Using the Nyström Method to Speed Up Kernel Machines Christopher K. I. Williams, Matthias Seeger [ps][pdf][djvu] Homeostasis in a Silicon Integrate and Fire Neuron Shih-Chii Liu, Bradley A. Minch [ps][pdf][djvu] A New Model of Spatial Representation in Multimodal Brain Areas Sophie Deneve, Jean-Rene Duhamel, Alexandre Pouget [ps][pdf][djvu] Color Opponency Constitutes a Sparse Representation for the Chromatic Structure of Natural Scenes Te-Won Lee, Thomas Wachtler, Terrence J. Sejnowski [ps][pdf][djvu] Bayesian Video Shot Segmentation Nuno Vasconcelos, Andrew Lippman [ps][pdf][djvu] Stability and Noise in Biochemical Switches William Bialek [ps][pdf][djvu] Discovering Hidden Variables: A Structure-Based Approach Gal Elidan, Noam Lotner, Nir Friedman, Daphne Koller [ps][pdf][djvu] Combining ICA and Top-Down Attention for Robust Speech Recognition Un-Min Bae, Soo-Young Lee [ps][pdf][djvu] Dopamine Bonuses Sham Kakade, Peter Dayan [ps][pdf][djvu] Temporally Dependent Plasticity: An Information Theoretic Account Gal Chechik, Naftali Tishby [ps][pdf][djvu] Algorithmic Stability and Generalization Performance Olivier Bousquet, André Elisseeff [ps][pdf][djvu] The Use of Classifiers in Sequential Inference Vasin Punyakanok, Dan Roth [ps][pdf][djvu] Improved Output Coding for Classification Using Continuous Relaxation Koby Crammer, Yoram Singer [ps][pdf][djvu] Kernel Expansions with Unlabeled Examples Martin Szummer, Tommi S. Jaakkola [ps][pdf][djvu] Text Classification using String Kernels Huma Lodhi, John Shawe-Taylor, Nello Cristianini, Chris Watkins [ps][pdf][djvu] Periodic Component Analysis: An Eigenvalue Method for Representing Periodic Structure in Speech Lawrence K. Saul, Jont B. Allen [ps][pdf][djvu] Learning Continuous Distributions: Simulations With Field Theoretic Priors Ilya Nemenman, William Bialek [ps][pdf][djvu] Fast Training of Support Vector Classifiers Fernando Pérez-Cruz, Pedro L. Alarcón-Diana, Angel Navia-Vázquez, Antonio Artés-Rodríguez [ps][pdf][djvu] Minimum Bayes Error Feature Selection for Continuous Speech Recognition George Saon, Mukund Padmanabhan [ps][pdf][djvu] Learning and Tracking Cyclic Human Motion Dirk Ormoneit, Hedvig Sidenbladh, Michael J. Black, Trevor Hastie [ps][pdf][djvu] An Information Maximization Approach to Overcomplete and Recurrent Representations Oren Shriki, Haim Sompolinsky, Daniel D. Lee [ps][pdf][djvu] A Linear Programming Approach to Novelty Detection Colin Campbell, Kristin P. Bennett [ps][pdf][djvu] Emergence of Movement Sensitive Neurons' Properties by Learning a Sparse Code for Natural Moving Images Rafal Bogacz, Malcolm W. Brown, Christophe Giraud-Carrier [ps][pdf][djvu] `N-Body' Problems in Statistical Learning Alexander G. Gray, Andrew W. Moore [ps][pdf][djvu] Generalized Belief Propagation Jonathan S. Yedidia, William T. Freeman, Yair Weiss [ps][pdf][djvu] Stagewise Processing in Error-correcting Codes and Image Restoration K. Y. Michael Wong, Hidetoshi Nishimori [ps][pdf][djvu] Interactive Parts Model: An Application to Recognition of On-line Cursive Script Predrag Neskovic, Philip C. Davis, Leon N. Cooper [ps][pdf][djvu] Spike-Timing-Dependent Learning for Oscillatory Networks Silvia Scarpetta, Zhaoping Li, John Hertz [ps][pdf][djvu] Propagation Algorithms for Variational Bayesian Learning Zoubin Ghahramani, Matthew J. Beal [ps][pdf][djvu] Smart Vision Chip Fabricated Using Three Dimensional Integration Technology Hiroyuki Kurino, M. Nakagawa, Kang Wook Lee, Tomonori Nakamura, Yuusuke Yamada, Ki Tae Park, Mitsumasa Koyanagi [ps][pdf][djvu] Whence Sparseness? Carl van Vreeswijk [ps][pdf][djvu] Sparse Kernel Principal Component Analysis Michael E. Tipping [ps][pdf][djvu] A Support Vector Method for Clustering Asa Ben-Hur, David Horn, Hava T. Siegelmann, Vladimir Vapnik [ps][pdf][djvu] Competition and Arbors in Ocular Dominance Peter Dayan [ps][pdf][djvu] Data Clustering by Markovian Relaxation and the Information Bottleneck Method Naftali Tishby, Noam Slonim [ps][pdf][djvu] Occam's Razor Carl Edward Rasmussen, Zoubin Ghahramani [ps][pdf][djvu] |