NIPS'2000 Volume 13 : Table of Contents

Todd Leen, Tom Dietterich, Volker Tresp (eds), MIT Press (2001)

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