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All publications in 2002
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Recommender Systems Using Linear Classifier
Tong Zhang and Vijay S. Iyengar
Journal of Machine Learning Research, 2002


Text Chunking based on a Generalization of Winnow
Tong Zhang, Fred Damerau and David Johnson
Journal of Machine Learning Research, 2002


Covering Number Bounds of Certain Regularized Linear Function Classes
Tong Zhang
Journal of Machine Learning Research, 2002


Learning About Multiple Objects in Images: Factorial Learning without Factorial Search
Christopher Williams and Michalis K. Titsias
Advances in Neural Information Processing Systems 15, 2002


Concurrent Object Recognition and Segmentation by Graph Partitioning
Stella X. Yu, Ralph Gross and Jianbo Shi
Advances in Neural Information Processing Systems 15, 2002


How to Combine Color and Shape Information for 3D Object Recognition: Kernels do the Trick
B. Caputo and Gy. Dorkó
Advances in Neural Information Processing Systems 15, 2002


A Model for Learning Variance Components of Natural Images
Yan Karklin and Michael S. Lewicki
Advances in Neural Information Processing Systems 15, 2002


Learning Sparse Topographic Representations with Products of Student-t Distributions
Max Welling, Simon Osindero and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 15, 2002


Feature Selection by Maximum Marginal Diversity
Nuno Vasconcelos
Advances in Neural Information Processing Systems 15, 2002


Recovering Intrinsic Images from a Single Image
Marshall F. Tappen, William T. Freeman and Edward H. Adelson
Advances in Neural Information Processing Systems 15, 2002


Shape Recipes: Scene Representations that Refer to the Image
William T. Freeman and Antonio Torralba
Advances in Neural Information Processing Systems 15, 2002


Learning Sparse Multiscale Image Representations
Phil Sallee and Bruno A. Olshausen
Advances in Neural Information Processing Systems 15, 2002


Linear Combinations of Optic Flow Vectors for Estimating Self-Motion - a Real-World Test of a Neural Model
Matthias O. Franz and Javaan S. Chahl
Advances in Neural Information Processing Systems 15, 2002


Recovering Articulated Model Topology from Observed Rigid Motion
Leonid Taycher, John Iii and Trevor Darrell
Advances in Neural Information Processing Systems 15, 2002


Unsupervised Color Constancy
Kinh Tieu and Erik G. Miller
Advances in Neural Information Processing Systems 15, 2002


Dynamic Structure Super-Resolution
Amos J. Storkey
Advances in Neural Information Processing Systems 15, 2002


A Bilinear Model for Sparse Coding
David B. Grimes and Rajesh P. Rao
Advances in Neural Information Processing Systems 15, 2002


Bayesian Image Super-Resolution
Michael E. Tipping and Christopher M. Bishop
Advances in Neural Information Processing Systems 15, 2002


A Prototype for Automatic Recognition of Spontaneous Facial Actions
M. S. Bartlett, B. Braathen, T. J. Sejnowski, J. R. Movellan and Gwen Littlewort
Advances in Neural Information Processing Systems 15, 2002


Fast Transformation-Invariant Factor Analysis
Anitha Kannan, Nebojsa Jojic and Brendan J. Frey
Advances in Neural Information Processing Systems 15, 2002


Learning to Detect Natural Image Boundaries Using Brightness and Texture
David R. Martin, Charless C. Fowlkes and Jitendra Malik
Advances in Neural Information Processing Systems 15, 2002


Learning to Perceive Transparency from the Statistics of Natural Scenes
Anat Levin, Assaf Zomet and Yair Weiss
Advances in Neural Information Processing Systems 15, 2002


On the Convergence of Optimistic Policy Iteration
John N. Tsitsiklis
Journal of Machine Learning Research, 2002


MDPs: Learning in Varying Environments
Istvan Szita, Bálint Takács and András Lörincz
Journal of Machine Learning Research, 2002


The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
Masashi Sugiyama and Klaus-robert Müller
Journal of Machine Learning Research, 2002


Policy Search using Paired Comparisons
Malcolm Strens and Andrew W. Moore
Journal of Machine Learning Research, 2002


Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions
Alexander Strehl and Joydeep Ghosh
Journal of Machine Learning Research, 2002


Learning to Construct Fast Signal Processing Implementations
Bryan Singer and Manuela M. Veloso
Journal of Machine Learning Research, 2002


PAC-Bayesian Generalisation Error Bounds for Gaussian Process Classification
Matthias Seeger
Journal of Machine Learning Research, 2002


Stopping Criterion for Boosting-Based Data Reduction Techniques: from Binary to Multiclass Problem
Marc Sebban, Richard Nock and Stéphane Lallich
Journal of Machine Learning Research, 2002


Finding the Most Interesting Patterns in a Database Quickly by Using Sequential Sampling
Tobias Scheffer and Stefan Wrobel
Journal of Machine Learning Research, 2002


Memory-Based Shallow Parsing
Erik Sang
Journal of Machine Learning Research, 2002


Application of Variational Bayesian Approach to Speech Recognition
Shinji Watanabe, Yasuhiro Minami, Atsushi Nakamura and Naonori Ueda
Advances in Neural Information Processing Systems 15, 2002


Discriminative Binaural Sound Localization
Ehud Ben-reuven and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002


Monaural Speech Separation
Guoning Hu and Deliang Wang
Advances in Neural Information Processing Systems 15, 2002


An Asynchronous Hidden Markov Model for Audio-Visual Speech Recognition
Samy Bengio
Advances in Neural Information Processing Systems 15, 2002


Source Separation with a Sensor Array Using Graphical Models and Subband Filtering
Hagai T. Attias
Advances in Neural Information Processing Systems 15, 2002


Bayesian Estimation of Time-Frequency Coefficients for Audio Signal Enhancement
Patrick J. Wolfe and Simon J. Godsill
Advances in Neural Information Processing Systems 15, 2002


Analysis of Information in Speech Based on MANOVA
Sachin S. Kajarekar and Hynek Hermansky
Advances in Neural Information Processing Systems 15, 2002


Real Time Voice Processing with Audiovisual Feedback: Toward Autonomous Agents with Perfect Pitch
Lawrence K. Saul, Daniel D. Lee, Charles L. Isbell and Yann L. Cun
Advances in Neural Information Processing Systems 15, 2002


A Probabilistic Approach to Single Channel Blind Signal Separation
Gil-jin Jang and Te-won Lee
Advances in Neural Information Processing Systems 15, 2002


Forward-Decoding Kernel-Based Phone Recognition
Shantanu Chakrabartty and Gert Cauwenberghs
Advances in Neural Information Processing Systems 15, 2002


Lyapunov Design for Safe Reinforcement Learning
Theodore J. Perkins and Andrew G. Barto
Journal of Machine Learning Research, 2002


Shallow Parsing using Noisy and Non-Stationary Training Material
Miles Osborne
Journal of Machine Learning Research, 2002


On Online Learning of Decision Lists
Ziv Nevo and Ran El-yaniv
Journal of Machine Learning Research, 2002


Some Greedy Learning Algorithms for Sparse Regression and Classification with Mercer Kernels
Prasanth B. Nair, Arindam Choudhury and Andy J. Keane
Journal of Machine Learning Research, 2002


Reconstructing Stimulus-Driven Neural Networks from Spike Times
Duane Q. Nykamp
Advances in Neural Information Processing Systems 15, 2002


Evidence Optimization Techniques for Estimating Stimulus-Response Functions
Maneesh Sahani and Jennifer F. Linden
Advances in Neural Information Processing Systems 15, 2002


An Estimation-Theoretic Framework for the Presentation of Multiple Stimuli
Christian W. Eurich
Advances in Neural Information Processing Systems 15, 2002


A Neural Edge-Detection Model for Enhanced Auditory Sensitivity in Modulated Noise
Alon Fishbach and Bradford J. May
Advances in Neural Information Processing Systems 15, 2002


Interpreting Neural Response Variability as Monte Carlo Sampling of the Posterior
Patrik O. Hoyer and Aapo Hyvärinen
Advances in Neural Information Processing Systems 15, 2002


Dynamical Constraints on Computing with Spike Timing in the Cortex
Arunava Banerjee and Alexandre Pouget
Advances in Neural Information Processing Systems 15, 2002


Maximally Informative Dimensions: Analyzing Neural Responses to Natural Signals
Tatyana Sharpee, Nicole C. Rust and William Bialek
Advances in Neural Information Processing Systems 15, 2002


Kernel-Based Extraction of Slow Features: Complex Cells Learn Disparity and Translation Invariance from Natural Images
Alistair Bray and Dominique Martinez
Advances in Neural Information Processing Systems 15, 2002


Selectivity and Metaplasticity in a Unified Calcium-Dependent Model
Luk-chong Yeung, Brian S. Blais, Leon N. Cooper and Harel Z. Shouval
Advances in Neural Information Processing Systems 15, 2002


Hidden Markov Model of Cortical Synaptic Plasticity: Derivation of the Learning Rule
Michael Eisele and Kenneth D. Miller
Advances in Neural Information Processing Systems 15, 2002


A Digital Antennal Lobe for Pattern Equalization: Analysis and Design
Alex Holub, Gilles Laurent and Pietro Perona
Advances in Neural Information Processing Systems 15, 2002


Adaptation and Unsupervised Learning
Peter Dayan, Maneesh Sahani and Gregoire Deback
Advances in Neural Information Processing Systems 15, 2002


A Model for Real-Time Computation in Generic Neural Microcircuits
Wolfgang Maass, Thomas Natschläger and Henry Markram
Advances in Neural Information Processing Systems 15, 2002


Factorial Coding of Color in Primary Visual Cortex
Javier R. Movellan, Thomas Wachtler, Thomas D. Albright and Terrence J. Sejnowski
Advances in Neural Information Processing Systems 15, 2002


An Information Theoretic Approach to the Functional Classification of Neurons
Elad Schneidman, William Bialek and Michael Ii
Advances in Neural Information Processing Systems 15, 2002


Binary Tuning is Optimal for Neural Rate Coding with High Temporal Resolution
Matthias Bethge, David Rotermund and Klaus Pawelzik
Advances in Neural Information Processing Systems 15, 2002


Branching Law for Axons
Dmitri B. Chklovskii and Armen Stepanyants
Advances in Neural Information Processing Systems 15, 2002


Convergence Properties of Some Spike-Triggered Analysis Techniques
Liam Paninski
Advances in Neural Information Processing Systems 15, 2002


Dopamine Induced Bistability Enhances Signal Processing in Spiny Neurons
Aaron J. Gruber, Sara A. Solla and James C. Houk
Advances in Neural Information Processing Systems 15, 2002


Expected and Unexpected Uncertainty: ACh and NE in the Neocortex
Peter Dayan and Angela J. Yu
Advances in Neural Information Processing Systems 15, 2002


Learning in Spiking Neural Assemblies
David Barber
Advances in Neural Information Processing Systems 15, 2002


Temporal Coherence, Natural Image Sequences, and the Visual Cortex
Jarmo Hurri and Aapo Hyvärinen
Advances in Neural Information Processing Systems 15, 2002


Spectro-Temporal Receptive Fields of Subthreshold Responses in Auditory Cortex
Christian K. Machens, Michael Wehr and Anthony M. Zador
Advances in Neural Information Processing Systems 15, 2002


Spikernels: Embedding Spiking Neurons in Inner-Product Spaces
Lavi Shpigelman, Yoram Singer, Rony Paz and Eilon Vaadia
Advances in Neural Information Processing Systems 15, 2002


Neural Decoding of Cursor Motion Using a Kalman Filter
W Wu, M. J. Black, Y. Gao, M. Serruya, A. Shaikhouni, J. P. Donoghue and Elie Bienenstock
Advances in Neural Information Processing Systems 15, 2002


How Linear are Auditory Cortical Responses?
Maneesh Sahani and Jennifer F. Linden
Advances in Neural Information Processing Systems 15, 2002


Binary Coding in Auditory Cortex
Michael R. Deweese and Anthony M. Zador
Advances in Neural Information Processing Systems 15, 2002


Shallow Parsing using Specialized HMMs
Antonio Molina and Ferran Pla
Journal of Machine Learning Research, 2002


Shallow Parsing with PoS Taggers and Linguistic Features
Beáta Megyesi
Journal of Machine Learning Research, 2002


The Learning-Curve Sampling Method Applied to Model-Based Clustering
Christopher Meek, Bo Thiesson and David Heckerman
Journal of Machine Learning Research, 2002


Coupled Clustering: A Method for Detecting Structural Correspondence
Zvika Marx, Ido Dagan, Joachim M. Buhmann and Eli Shamir
Journal of Machine Learning Research, 2002


The Set Covering Machine
Mario Marchand and John Shawe-taylor
Journal of Machine Learning Research, 2002


Text Classification using String Kernels
Huma Lodhi, Craig Saunders, John Shawe-taylor, Nello Cristianini and Christopher Watkins
Journal of Machine Learning Research, 2002


The Representational Power of Discrete Bayesian Networks
Charles X. Ling and Huajie Zhang
Journal of Machine Learning Research, 2002


A Robust Minimax Approach to Classification
Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan
Journal of Machine Learning Research, 2002


Hyperkernels
Cheng S. Ong, Robert C. Williamson and Alex J. Smola
Advances in Neural Information Processing Systems 15, 2002


Margin-Based Algorithms for Information Filtering
Nicolò Cesa-bianchi, Alex Conconi and Claudio Gentile
Advances in Neural Information Processing Systems 15, 2002


Margin Analysis of the LVQ Algorithm
Koby Crammer, Ran Gilad-bachrach, Amir Navot and Naftali Tishby
Advances in Neural Information Processing Systems 15, 2002


Effective Dimension and Generalization of Kernel Learning
Tong Zhang
Advances in Neural Information Processing Systems 15, 2002


An Impossibility Theorem for Clustering
Jon M. Kleinberg
Advances in Neural Information Processing Systems 15, 2002


Fractional Belief Propagation
Wim Wiegerinck and Tom Heskes
Advances in Neural Information Processing Systems 15, 2002


A Note on the Representational Incompatibility of Function Approximation and Factored Dynamics
Eric Allender, Sanjeev Arora, Michael Kearns, Cristopher Moore and Alexander Russell
Advances in Neural Information Processing Systems 15, 2002


PAC-Bayes \& Margins
John Langford and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002


Conditional Models on the Ranking Poset
Guy Lebanon and John D. Lafferty
Advances in Neural Information Processing Systems 15, 2002


Rate Distortion Function in the Spin Glass State: A Toy Model
Tatsuto Murayama and Masato Okada
Advances in Neural Information Processing Systems 15, 2002


On the Complexity of Learning the Kernel Matrix
Olivier Bousquet and Daniel Herrmann
Advances in Neural Information Processing Systems 15, 2002


The Effect of Singularities in a Learning Machine when the True Parameters Do Not Lie on such Singularities
Sumio Watanabe and Shun-ichi Amari
Advances in Neural Information Processing Systems 15, 2002


Scaling of Probability-Based Optimization Algorithms
J. L. Shapiro
Advances in Neural Information Processing Systems 15, 2002


Information Diffusion Kernels
Guy Lebanon and John D. Lafferty
Advances in Neural Information Processing Systems 15, 2002


The Stability of Kernel Principal Components Analysis and its Relation to the Process Eigenspectrum
Christopher Williams and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002


Dyadic Classification Trees via Structural Risk Minimization
Clayton Scott and Robert Nowak
Advances in Neural Information Processing Systems 15, 2002


Concentration Inequalities for the Missing Mass and for Histogram Rule Error
Luis E. Ortiz and David A. Mcallester
Advances in Neural Information Processing Systems 15, 2002


Stable Fixed Points of Loopy Belief Propagation Are Local Minima of the Bethe Free Energy
Tom Heskes
Advances in Neural Information Processing Systems 15, 2002


Maximum Likelihood and the Information Bottleneck
Noam Slonim and Yair Weiss
Advances in Neural Information Processing Systems 15, 2002


A Statistical Mechanics Approach to Approximate Analytical Bootstrap Averages
Dörthe Malzahn and Manfred Opper
Advances in Neural Information Processing Systems 15, 2002


Data-Dependent Bounds for Bayesian Mixture Methods
Ron Meir and Tong Zhang
Advances in Neural Information Processing Systems 15, 2002


Efficient Algorithms for Universal Portfolios
Adam Kalai and Santosh Vempala
Journal of Machine Learning Research, 2002


Field-Programmable Learning Arrays
Seth Bridges, Miguel Figueroa, Chris Diorio and Daniel J. Hsu
Advances in Neural Information Processing Systems 15, 2002


Spike Timing-Dependent Plasticity in the Address Domain
R. J. Vogelstein, Francesco Tenore, Ralf Philipp, Miriam S. Adlerstein, David H. Goldberg and Gert Cauwenberghs
Advances in Neural Information Processing Systems 15, 2002


Topographic Map Formation by Silicon Growth Cones
Brian Taba and Kwabena A. Boahen
Advances in Neural Information Processing Systems 15, 2002


Developing Topography and Ocular Dominance Using Two aVLSI Vision Sensors and a Neurotrophic Model of Plasticity
Terry Elliott and Jörg Kramer
Advances in Neural Information Processing Systems 15, 2002


Classifying Patterns of Visual Motion - a Neuromorphic Approach
Jakob Heinzle and Alan Stocker
Advances in Neural Information Processing Systems 15, 2002


Combining Features for BCI
Guido Dornhege, Benjamin Blankertz, Gabriel Curio and Klaus-robert Müller
Advances in Neural Information Processing Systems 15, 2002


Improving Transfer Rates in Brain Computer Interfacing: A Case Study
Peter Meinicke, Matthias Kaper, Florian Hoppe, Manfred Heumann and Helge Ritter
Advances in Neural Information Processing Systems 15, 2002


Retinal Processing Emulation in a Programmable 2-Layer Analog Array Processor CMOS Chip
R. Carmona, F. Jiménez-garrido, R. Dominguez-castro, S. Espejo and A. Rodriguez-vázquez
Advances in Neural Information Processing Systems 15, 2002


Neuromorphic Bistable VLSI Synapses with Spike-Timing-Dependent Plasticity
Giacomo Indiveri
Advances in Neural Information Processing Systems 15, 2002


Adaptive Quantization and Density Estimation in Silicon
Seth Bridges, Miguel Figueroa, Chris Diorio and Daniel J. Hsu
Advances in Neural Information Processing Systems 15, 2002


Circuit Model of Short-Term Synaptic Dynamics
Shih-chii Liu, Malte Boegershausen and Pascal Suter
Advances in Neural Information Processing Systems 15, 2002


Optoelectronic Implementation of a FitzHugh-Nagumo Neural Model
Alexandre R. Romariz and Kelvin Wagner
Advances in Neural Information Processing Systems 15, 2002


Algorithmic Luckiness
Ralf Herbrich and Robert C. Williamson
Journal of Machine Learning Research, 2002


Introduction to Special Issue on Machine Learning Approaches to Shallow Parsing
James Hammerton, Miles Osborne, Susan Armstrong and Walter Daelemans
Journal of Machine Learning Research, 2002


Learning Probabilistic Models of Link Structure
Lise Getoor, Nir Friedman, Daphne Koller and Benjamin Taskar
Journal of Machine Learning Research, 2002


Learning Precise Timing with LSTM Recurrent Networks
Felix A. Gers, Nicol N. Schraudolph and Jürgen Schmidhuber
Journal of Machine Learning Research, 2002


Round Robin Classification
Johannes Fürnkranz
Journal of Machine Learning Research, 2002


Minimal Kernel Classifiers
Glenn Fung, Olvi L. Mangasarian and Alex J. Smola
Journal of Machine Learning Research, 2002


Multiple-Instance Learning of Real-Valued Data
Daniel R. Dooly, Qi Zhang, Sally A. Goldman and Robert A. Amar
Journal of Machine Learning Research, 2002


Learning Rules and Their Exceptions
Hervé Déjean
Journal of Machine Learning Research, 2002


Optimal Structure Identification With Greedy Search
David M. Chickering
Journal of Machine Learning Research, 2002


Learning Equivalence Classes of Bayesian-Network Structures
David M. Chickering
Journal of Machine Learning Research, 2002


Variational Learning of Clusters of Undercomplete Nonsymmetric Independent Components
Kwokleung Chan, Te-won Lee and Terrence J. Sejnowski
Journal of Machine Learning Research, 2002


Machine Learning with Data Dependent Hypothesis Classes
Adam Cannon, J. M. Ettinger, Don R. Hush and Clint Scovel
Journal of Machine Learning Research, 2002


Automatic Acquisition and Efficient Representation of Syntactic Structures
Zach Solan, Eytan Ruppin, David Horn and Shimon Edelman
Advances in Neural Information Processing Systems 15, 2002


Timing and Partial Observability in the Dopamine System
Nathaniel D. Daw, Aaron C. Courville and David S. Touretzky
Advances in Neural Information Processing Systems 15, 2002


Visual Development Aids the Acquisition of Motion Velocity Sensitivities
Robert A. Jacobs and Melissa Dominguez
Advances in Neural Information Processing Systems 15, 2002


Dynamical Causal Learning
David Danks, Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 15, 2002


Modeling Midazolam's Effect on the Hippocampus and Recognition Memory
Kenneth J. Malmberg, René Zeelenberg and Richard M. Shiffrin
Advances in Neural Information Processing Systems 15, 2002


Combining Dimensions and Features in Similarity-Based Representations
Daniel J. Navarro and Michael D. Lee
Advances in Neural Information Processing Systems 15, 2002


Bayesian Models of Inductive Generalization
Neville E. Sanjana and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 15, 2002


How the Poverty of the Stimulus Solves the Poverty of the Stimulus
Willem Zuidema
Advances in Neural Information Processing Systems 15, 2002


Theory-Based Causal Inference
Joshua B. Tenenbaum and Thomas L. Griffiths
Advances in Neural Information Processing Systems 15, 2002


Categorization Under Complexity: A Unified MDL Account of Human Learning of Regular and Irregular Categories
David Fass and Jacob Feldman
Advances in Neural Information Processing Systems 15, 2002


A Minimal Intervention Principle for Coordinated Movement
Emanuel Todorov and Michael I. Jordan
Advances in Neural Information Processing Systems 15, 2002


Replay, Repair and Consolidation
Szabolcs Káli and Peter Dayan
Advances in Neural Information Processing Systems 15, 2002


Prediction and Semantic Association
Thomas L. Griffiths and Mark Steyvers
Advances in Neural Information Processing Systems 15, 2002


Fast Exact Inference with a Factored Model for Natural Language Parsing
Dan Klein and Christopher D. Manning
Advances in Neural Information Processing Systems 15, 2002


Exponential Family PCA for Belief Compression in POMDPs
Nicholas Roy and Geoffrey J. Gordon
Advances in Neural Information Processing Systems 15, 2002


Learning in Zero-Sum Team Markov Games Using Factored Value Functions
Michail G. Lagoudakis and Ronald Parr
Advances in Neural Information Processing Systems 15, 2002


Learning to Take Concurrent Actions
Khashayar Rohanimanesh and Sridhar Mahadevan
Advances in Neural Information Processing Systems 15, 2002


Nonparametric Representation of Policies and Value Functions: A Trajectory-Based Approach
Christopher G. Atkeson and Jun Morimoto
Advances in Neural Information Processing Systems 15, 2002


Efficient Learning Equilibrium
Ronen I. Brafman and Moshe Tennenholtz
Advances in Neural Information Processing Systems 15, 2002


A Convergent Form of Approximate Policy Iteration
Theodore J. Perkins and Doina Precup
Advances in Neural Information Processing Systems 15, 2002


Approximate Linear Programming for Average-Cost Dynamic Programming
Benjamin V. Roy and Daniela D. Farias
Advances in Neural Information Processing Systems 15, 2002


Convergent Combinations of Reinforcement Learning with Linear Function Approximation
Ralf Schoknecht and Artur Merke
Advances in Neural Information Processing Systems 15, 2002


Reinforcement Learning to Play an Optimal Nash Equilibrium in Team Markov Games
Xiaofeng Wang and Tuomas Sandholm
Advances in Neural Information Processing Systems 15, 2002


Speeding up the Parti-Game Algorithm
Maxim Likhachev and Sven Koenig
Advances in Neural Information Processing Systems 15, 2002


Optimality of Reinforcement Learning Algorithms with Linear Function Approximation
Ralf Schoknecht
Advances in Neural Information Processing Systems 15, 2002


Value-Directed Compression of POMDPs
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 15, 2002


Bias-Optimal Incremental Problem Solving
Jürgen Schmidhuber
Advances in Neural Information Processing Systems 15, 2002


Minimax Differential Dynamic Programming: An Application to Robust Biped Walking
Jun Morimoto and Christopher G. Atkeson
Advances in Neural Information Processing Systems 15, 2002


Learning a Forward Model of a Reflex
Bernd Porr and Florentin Wörgötter
Advances in Neural Information Processing Systems 15, 2002


Learning Attractor Landscapes for Learning Motor Primitives
Auke J. Ijspeert, Jun Nakanishi and Stefan Schaal
Advances in Neural Information Processing Systems 15, 2002


On Boosting with Polynomially Bounded Distributions
Nader H. Bshouty and Dmitry Gavinsky
Journal of Machine Learning Research, 2002


On Using Extended Statistical Queries to Avoid Membership Queries
Nader H. Bshouty and Vitaly Feldman
Journal of Machine Learning Research, 2002


Learning Monotone DNF from a Teacher that Almost Does Not Answer Membership Queries
Nader H. Bshouty and Nadav Eiron
Journal of Machine Learning Research, 2002


R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
Ronen I. Brafman and Moshe Tennenholtz
Journal of Machine Learning Research, 2002


Tracking a Small Set of Experts by Mixing Past Posteriors
Olivier Bousquet and Manfred K. Warmuth
Journal of Machine Learning Research, 2002


Stability and Generalization
Olivier Bousquet and André Elisseeff
Journal of Machine Learning Research, 2002


Stability and Generalization
Olivier Bousquet and André Elisseeff
Journal of Machine Learning Research, 2002


Efficient Algorithms for Decision Tree Cross-validation
Hendrik Blockeel and Jan Struyf
Journal of Machine Learning Research, 2002


Limitations of Learning Via Embeddings in Euclidean Half Spaces
Shai Ben-david, Nadav Eiron and Hans-ulrich Simon
Journal of Machine Learning Research, 2002


Rademacher and Gaussian Complexities: Risk Bounds and Structural Results
Peter L. Bartlett and Shahar Mendelson
Journal of Machine Learning Research, 2002


Kernel Independent Component Analysis
Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2002


Using Confidence Bounds for Exploitation-Exploration Trade-offs
Peter Auer
Journal of Machine Learning Research, 2002


Data-dependent margin-based generalization bounds for classification
András Antos, Balázs Kégl, Tamás Linder and Gábor Lugosi
Journal of Machine Learning Research, 2002


A Probabilistic Model for Learning Concatenative Morphology
Matthew G. Snover and Michael R. Brent
Advances in Neural Information Processing Systems 15, 2002


Name That Song!" A Probabilistic Approach to Querying on Music and Text
Eric Brochu and Nando D. Freitas
Advances in Neural Information Processing Systems 15, 2002


Learning to Classify Galaxy Shapes Using the EM Algorithm
Sergey Kirshner, Igor V. Cadez, Padhraic Smyth and Chandrika Kamath
Advances in Neural Information Processing Systems 15, 2002


A Hierarchical Bayesian Markovian Model for Motifs in Biopolymer Sequences
Eric P. Xing, Michael I. Jordan, Richard M. Karp and Stuart Russell
Advances in Neural Information Processing Systems 15, 2002


Improving a Page Classifier with Anchor Extraction and Link Analysis
William W. Cohen
Advances in Neural Information Processing Systems 15, 2002


Inferring a Semantic Representation of Text via Cross-Language Correlation Analysis
Alexei Vinokourov, Nello Cristianini and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002


Adaptive Caching by Refetching
Robert B. Gramacy, Manfred K. Warmuth, Scott A. Brandt and Ismail Ari
Advances in Neural Information Processing Systems 15, 2002


Approximate Inference and Protein-Folding
Chen Yanover and Yair Weiss
Advances in Neural Information Processing Systems 15, 2002


Prediction of Protein Topologies Using Generalized IOHMMS and RNNs
Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi and Pierre F. Baldi
Advances in Neural Information Processing Systems 15, 2002


A Maximum Entropy Approach to Collaborative Filtering in Dynamic, Sparse, High-Dimensional Domains
Dmitry Y. Pavlov and David M. Pennock
Advances in Neural Information Processing Systems 15, 2002


Real-Time Monitoring of Complex Industrial Processes with Particle Filters
Rubén Morales-menéndez, Nando D. Freitas and David Poole
Advances in Neural Information Processing Systems 15, 2002


Graph-Driven Feature Extraction From Microarray Data Using Diffusion Kernels and Kernel CCA
Jean-philippe Vert and Minoru Kanehisa
Advances in Neural Information Processing Systems 15, 2002


Mismatch String Kernels for SVM Protein Classification
Eleazar Eskin, Jason Weston, William S. Noble and Christina S. Leslie
Advances in Neural Information Processing Systems 15, 2002


The RA Scanner: Prediction of Rheumatoid Joint Inflammation Based on Laser Imaging
Anton Schwaighofer, Volker Tresp, Peter Mayer, Alexander K. Scheel and Gerhard Müller
Advances in Neural Information Processing Systems 15, 2002


Identity Uncertainty and Citation Matching
Hanna Pasula, Bhaskara Marthi, Brian Milch, Stuart Russell and Ilya Shpitser
Advances in Neural Information Processing Systems 15, 2002


Real-Time Particle Filters
Cody Kwok, Dieter Fox and Marina Meila
Advances in Neural Information Processing Systems 15, 2002


Location Estimation with a Differential Update Network
Ali Rahimi and Trevor Darrell
Advances in Neural Information Processing Systems 15, 2002


Multiplicative Updates for Nonnegative Quadratic Programming in Support Vector Machines
Fei Sha, Lawrence K. Saul and Daniel D. Lee
Advances in Neural Information Processing Systems 15, 2002


Derivative Observations in Gaussian Process Models of Dynamic Systems
E. Solak, R. Murray-smith, W. E. Leithead, D. J. Leith and Carl E. Rasmussen
Advances in Neural Information Processing Systems 15, 2002


Information Regularization with Partially Labeled Data
Martin Szummer and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002


Multiple Cause Vector Quantization
David A. Ross and Richard S. Zemel
Advances in Neural Information Processing Systems 15, 2002


Learning Graphical Models with Mercer Kernels
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 15, 2002


Incremental Gaussian Processes
Joaquin Quiñonero-candela and Ole Winther
Advances in Neural Information Processing Systems 15, 2002


FloatBoost Learning for Classification
Stan Z. Li, Zhenqiu Zhang, Heung-yeung Shum and Hongjiang Zhang
Advances in Neural Information Processing Systems 15, 2002


Discriminative Densities from Maximum Contrast Estimation
Peter Meinicke, Thorsten Twellmann and Helge Ritter
Advances in Neural Information Processing Systems 15, 2002


Discriminative Learning for Label Sequences via Boosting
Yasemin Altun, Thomas Hofmann and Mark Johnson
Advances in Neural Information Processing Systems 15, 2002


Annealing and the Rate Distortion Problem
Albert E. Parker, Tomá\v S. Gedeon and Alexander G. Dimitrov
Advances in Neural Information Processing Systems 15, 2002


Charting a Manifold
Matthew Brand
Advances in Neural Information Processing Systems 15, 2002


Transductive and Inductive Methods for Approximate Gaussian Process Regression
Anton Schwaighofer and Volker Tresp
Advances in Neural Information Processing Systems 15, 2002


Multiclass Learning by Probabilistic Embeddings
Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002


Ranking with Large Margin Principle: Two Approaches
Amnon Shashua and Anat Levin
Advances in Neural Information Processing Systems 15, 2002


Using Manifold Stucture for Partially Labeled Classification
Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 15, 2002


The Decision List Machine
Marina Sokolova, Mario Marchand, Nathalie Japkowicz and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002


Artefactual Structure from Least-Squares Multidimensional Scaling
Nicholas P. Hughes and David Lowe
Advances in Neural Information Processing Systems 15, 2002


Robust Novelty Detection with Single-Class MPM
Laurent E. Ghaoui, Michael I. Jordan and Gert R. Lanckriet
Advances in Neural Information Processing Systems 15, 2002


Learning with Multiple Labels
Rong Jin and Zoubin Ghahramani
Advances in Neural Information Processing Systems 15, 2002


Feature Selection and Classification on Matrix Data: From Large Margins to Small Covering Numbers
Sepp Hochreiter and Klaus Obermayer
Advances in Neural Information Processing Systems 15, 2002


Handling Missing Data with Variational Bayesian Learning of ICA
Kwokleung Chan, Te-won Lee and Terrence J. Sejnowski
Advances in Neural Information Processing Systems 15, 2002


Kernel Dependency Estimation
Jason Weston, Olivier Chapelle, Vladimir Vapnik, André Elisseeff and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


Critical Lines in Symmetry of Mixture Models and its Application to Component Splitting
Kenji Fukumizu, Shotaro Akaho and Shun-ichi Amari
Advances in Neural Information Processing Systems 15, 2002


Extracting Relevant Structures with Side Information
Gal Chechik and Naftali Tishby
Advances in Neural Information Processing Systems 15, 2002


Informed Projections
David Tax
Advances in Neural Information Processing Systems 15, 2002


Automatic Alignment of Local Representations
Yee W. Teh and Sam T. Roweis
Advances in Neural Information Processing Systems 15, 2002


Stochastic Neighbor Embedding
Geoffrey E. Hinton and Sam T. Roweis
Advances in Neural Information Processing Systems 15, 2002


Manifold Parzen Windows
Pascal Vincent and Yoshua Bengio
Advances in Neural Information Processing Systems 15, 2002


Going Metric: Denoising Pairwise Data
Volker Roth, Julian Laub, Klaus-robert Müller and Joachim M. Buhmann
Advances in Neural Information Processing Systems 15, 2002


Exact MAP Estimates by (Hyper)tree Agreement
Alan S. Willsky, Martin J. Wainwright and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002


Using Tarjan's Red Rule for Fast Dependency Tree Construction
Dan Pelleg and Andrew W. Moore
Advances in Neural Information Processing Systems 15, 2002


Nash Propagation for Loopy Graphical Games
Luis E. Ortiz and Michael Kearns
Advances in Neural Information Processing Systems 15, 2002


Constraint Classification for Multiclass Classification and Ranking
Sariel Har-peled, Dan Roth and Dav Zimak
Advances in Neural Information Processing Systems 15, 2002


A Differential Semantics for Jointree Algorithms
James D. Park and Adnan Darwiche
Advances in Neural Information Processing Systems 15, 2002


VIBES: A Variational Inference Engine for Bayesian Networks
Christopher M. Bishop, David Spiegelhalter and John Winn
Advances in Neural Information Processing Systems 15, 2002


A Formulation for Minimax Probability Machine Regression
Thomas Strohmann and Gregory Z. Grudic
Advances in Neural Information Processing Systems 15, 2002


One-Class LP Classifiers for Dissimilarity Representations
Elzbieta Pekalska, David Tax and Robert Duin
Advances in Neural Information Processing Systems 15, 2002


Regularized Greedy Importance Sampling
Finnegan Southey, Dale Schuurmans and Ali Ghodsi
Advances in Neural Information Processing Systems 15, 2002


Boosted Dyadic Kernel Discriminants
Baback Moghaddam and Gregory Shakhnarovich
Advances in Neural Information Processing Systems 15, 2002


Adaptive Classification by Variational Kalman Filtering
Peter Sykacek and Stephen J. Roberts
Advances in Neural Information Processing Systems 15, 2002


Clustering with the Fisher Score
Koji Tsuda, Motoaki Kawanabe and Klaus-robert Müller
Advances in Neural Information Processing Systems 15, 2002


Parametric Mixture Models for Multi-Labeled Text
Naonori Ueda and Kazumi Saito
Advances in Neural Information Processing Systems 15, 2002


Dynamic Bayesian Networks with Deterministic Latent Tables
David Barber
Advances in Neural Information Processing Systems 15, 2002


Global Versus Local Methods in Nonlinear Dimensionality Reduction
Vin D. Silva and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 15, 2002


On the Dirichlet Prior and Bayesian Regularization
Harald Steck and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 15, 2002


Half-Lives of EigenFlows for Spectral Clustering
Chakra Chennubhotla and Allan D. Jepson
Advances in Neural Information Processing Systems 15, 2002


Intrinsic Dimension Estimation Using Packing Numbers
Balázs Kégl
Advances in Neural Information Processing Systems 15, 2002


Automatic Derivation of Statistical Algorithms: The EM Family and Beyond
Bernd Fischer, Johann Schumann, Wray Buntine and Alexander G. Gray
Advances in Neural Information Processing Systems 15, 2002


Self Supervised Boosting
Max Welling, Richard S. Zemel and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 15, 2002


Learning Semantic Similarity
Jaz Kandola, Nello Cristianini and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002


Independent Components Analysis through Product Density Estimation
Robert Tibshirani and Trevor J. Hastie
Advances in Neural Information Processing Systems 15, 2002


Boosting Density Estimation
Saharon Rosset and Eran Segal
Advances in Neural Information Processing Systems 15, 2002


String Kernels, Fisher Kernels and Finite State Automata
Craig Saunders, Alexei Vinokourov and John S. Shawe-taylor
Advances in Neural Information Processing Systems 15, 2002


Feature Selection in Mixture-Based Clustering
Martin H. Law, Anil K. Jain and Mário Figueiredo
Advances in Neural Information Processing Systems 15, 2002


Stability-Based Model Selection
Tilman Lange, Mikio L. Braun, Volker Roth and Joachim M. Buhmann
Advances in Neural Information Processing Systems 15, 2002


Fast Sparse Gaussian Process Methods: The Informative Vector Machine
Ralf Herbrich, Neil D. Lawrence and Matthias Seeger
Advances in Neural Information Processing Systems 15, 2002


Rational Kernels
Corinna Cortes, Patrick Haffner and Mehryar Mohri
Advances in Neural Information Processing Systems 15, 2002


Adaptive Nonlinear System Identification with Echo State Networks
Herbert Jaeger
Advances in Neural Information Processing Systems 15, 2002


Cluster Kernels for Semi-Supervised Learning
Olivier Chapelle, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 15, 2002


Generalized$^2$ Linear$^2$ Models
Geoffrey J. Gordon
Advances in Neural Information Processing Systems 15, 2002


Fast Kernels for String and Tree Matching
Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 15, 2002


Support Vector Machines for Multiple-Instance Learning
Stuart Andrews, Ioannis Tsochantaridis and Thomas Hofmann
Advances in Neural Information Processing Systems 15, 2002


Adaptive Scaling for Feature Selection in SVMs
Yves Grandvalet and Stéphane Canu
Advances in Neural Information Processing Systems 15, 2002


Coulomb Classifiers: Generalizing Support Vector Machines via an Analogy to Electrostatic Systems
Sepp Hochreiter, Michael C. Mozer and Klaus Obermayer
Advances in Neural Information Processing Systems 15, 2002


Kernel Design Using Boosting
Koby Crammer, Joseph Keshet and Yoram Singer
Advances in Neural Information Processing Systems 15, 2002


Gaussian Process Priors with Uncertain Inputs -- Application to Multiple-Step Ahead Time Series Forecasting
Agathe Girard, Joaquin Q. Candela, Roderick Murray-smith and Carl E. Rasmussen
Advances in Neural Information Processing Systems 15, 2002


Knowledge-Based Support Vector Machine Classifiers
Glenn M. Fung, Olvi L. Mangasarian and Jude W. Shavlik
Advances in Neural Information Processing Systems 15, 2002


Adapting Codes and Embeddings for Polychotomies
Gunnar Rätsch, Sebastian Mika and Alex J. Smola
Advances in Neural Information Processing Systems 15, 2002


Distance Metric Learning with Application to Clustering with Side-Information
Eric P. Xing, Michael I. Jordan, Stuart Russell and Andrew Y. Ng
Advances in Neural Information Processing Systems 15, 2002


Mean Field Approach to a Probabilistic Model in Information Retrieval
Bin Wu, K. Wong and David Bodoff
Advances in Neural Information Processing Systems 15, 2002


Bayesian Monte Carlo
Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 15, 2002