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The g Factor: Relating Distributions on Features to Distributions on Images
James M. Coughlan and Alan L. Yuille
Advances in Neural Information Processing Systems 14, 2001


Categorization by Learning and Combining Object Parts
Bernd Heisele, Thomas Serre, Massimiliano Pontil, Thomas Vetter and Tomaso Poggio
Advances in Neural Information Processing Systems 14, 2001


Grouping and dimensionality reduction by locally linear embedding
Marzia Polito and Pietro Perona
Advances in Neural Information Processing Systems 14, 2001


Learning Body Pose via Specialized Maps
Rómer Rosales and Stan Sclaroff
Advances in Neural Information Processing Systems 14, 2001


Modeling the Modulatory Effect of Attention on Human Spatial Vision
Laurent Itti, Jochen Braun and Christof Koch
Advances in Neural Information Processing Systems 14, 2001


Perceptual Metamers in Stereoscopic Vision
B. T. Backus
Advances in Neural Information Processing Systems 14, 2001


Sequential Noise Compensation by Sequential Monte Carlo Method
K. Yao and S. Nakamura
Advances in Neural Information Processing Systems 14, 2001


Audio-Visual Sound Separation Via Hidden Markov Models
John R. Hershey and Michael Casey
Advances in Neural Information Processing Systems 14, 2001


Estimating the Reliability of ICA Projections
Frank C. Meinecke, Andreas Ziehe, Motoaki Kawanabe and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001


Speech Recognition with Missing Data using Recurrent Neural Nets
S. Parveen and P. Green
Advances in Neural Information Processing Systems 14, 2001


A Neural Oscillator Model of Auditory Selective Attention
Stuart N. Wrigley and Guy J. Brown
Advances in Neural Information Processing Systems 14, 2001


ALGONQUIN - Learning Dynamic Noise Models From Noisy Speech for Robust Speech Recognition
Brendan J. Frey, Trausti T. Kristjansson, Li Deng and Alex Acero
Advances in Neural Information Processing Systems 14, 2001


A Sequence Kernel and its Application to Speaker Recognition
William M. Campbell
Advances in Neural Information Processing Systems 14, 2001


Relative Density Nets: A New Way to Combine Backpropagation with HMM's
Andrew D. Brown and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 14, 2001


Speech Recognition using SVMs
N. Smith and Mark Gales
Advances in Neural Information Processing Systems 14, 2001


Intransitive Likelihood-Ratio Classifiers
Jeff Bilmes, Gang Ji and Marina Meila
Advances in Neural Information Processing Systems 14, 2001


Spike timing and the coding of naturalistic sounds in a central auditory area of songbirds
B. D. Wright, Kamal Sen, William Bialek and A. J. Doupe
Advances in Neural Information Processing Systems 14, 2001


Self-regulation Mechanism of Temporally Asymmetric Hebbian Plasticity
N. Matsumoto and M. Okada
Advances in Neural Information Processing Systems 14, 2001


Why Neuronal Dynamics Should Control Synaptic Learning Rules
Jesper Tegnér and Ádám Kepecs
Advances in Neural Information Processing Systems 14, 2001


Linking Motor Learning to Function Approximation: Learning in an Unlearnable Force Field
O. Donchin and Reza Shadmehr
Advances in Neural Information Processing Systems 14, 2001


Modularity in the motor system: decomposition of muscle patterns as combinations of time-varying synergies
A. D'avella and M. C. Tresch
Advances in Neural Information Processing Systems 14, 2001


Associative memory in realistic neuronal networks
Peter E. Latham
Advances in Neural Information Processing Systems 14, 2001


Eye movements and the maturation of cortical orientation selectivity
Antonino Casile and Michele Rucci
Advances in Neural Information Processing Systems 14, 2001


Exact differential equation population dynamics for integrate-and-fire neurons
Julian Eggert and Berthold Bäuml
Advances in Neural Information Processing Systems 14, 2001


Classifying Single Trial EEG: Towards Brain Computer Interfacing
Benjamin Blankertz, Gabriel Curio and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001


Effective Size of Receptive Fields of Inferior Temporal Visual Cortex Neurons in Natural Scenes
Thomas P. Trappenberg, Edmund T. Rolls and Simon M. Stringer
Advances in Neural Information Processing Systems 14, 2001


ACh, Uncertainty, and Cortical Inference
Peter Dayan and Angela J. Yu
Advances in Neural Information Processing Systems 14, 2001


Characterizing Neural Gain Control using Spike-triggered Covariance
Odelia Schwartz, E. J. Chichilnisky and Eero P. Simoncelli
Advances in Neural Information Processing Systems 14, 2001


Orientational and Geometric Determinants of Place and Head-direction
Neil Burgess and Tom Hartley
Advances in Neural Information Processing Systems 14, 2001


A Maximum-Likelihood Approach to Modeling Multisensory Enhancement
H. Colonius and A. Diederich
Advances in Neural Information Processing Systems 14, 2001


Generating velocity tuning by asymmetric recurrent connections
Xiaohui Xie and Martin A. Giese
Advances in Neural Information Processing Systems 14, 2001


Information-Geometric Decomposition in Spike Analysis
Hiroyuki Nakahara and Shun-ichi Amari
Advances in Neural Information Processing Systems 14, 2001


Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex
Yun Gao, Michael J. Black, Elie Bienenstock, Shy Shoham and John P. Donoghue
Advances in Neural Information Processing Systems 14, 2001


Activity Driven Adaptive Stochastic Resonance
Gregor Wenning and Klaus Obermayer
Advances in Neural Information Processing Systems 14, 2001


3 state neurons for contextual processing
Ádám Kepecs and S. Raghavachari
Advances in Neural Information Processing Systems 14, 2001


Bayesian morphometry of hippocampal cells suggests same-cell somatodendritic repulsion
Giorgio A. Ascoli and Alexei V. Samsonovich
Advances in Neural Information Processing Systems 14, 2001


Receptive field structure of flow detectors for heading perception
J. A. Beintema, M. Lappe and Alexander C. Berg
Advances in Neural Information Processing Systems 14, 2001


A theory of neural integration in the head-direction system
Richard Hahnloser, Xiaohui Xie and H. S. Seung
Advances in Neural Information Processing Systems 14, 2001


Neural Implementation of Bayesian Inference in Population Codes
Si Wu and Shun-ichi Amari
Advances in Neural Information Processing Systems 14, 2001


Group Redundancy Measures Reveal Redundancy Reduction in the Auditory Pathway
Gal Chechik, Amir Globerson, M. J. Anderson, E. D. Young, Israel Nelken and Naftali Tishby
Advances in Neural Information Processing Systems 14, 2001


Correlation Codes in Neuronal Populations
Maoz Shamir and Haim Sompolinsky
Advances in Neural Information Processing Systems 14, 2001


Information Geometrical Framework for Analyzing Belief Propagation Decoder
Shiro Ikeda, Toshiyuki Tanaka and Shun-ichi Amari
Advances in Neural Information Processing Systems 14, 2001


A Variational Approach to Learning Curves
Dörthe Malzahn and Manfred Opper
Advances in Neural Information Processing Systems 14, 2001


Asymptotic Universality for Learning Curves of Support Vector Machines
Manfred Opper and Robert Urbanczik
Advances in Neural Information Processing Systems 14, 2001


Novel iteration schemes for the Cluster Variation Method
Hilbert J. Kappen and Wim Wiegerinck
Advances in Neural Information Processing Systems 14, 2001


Entropy and Inference, Revisited
Ilya Nemenman, F. Shafee and William Bialek
Advances in Neural Information Processing Systems 14, 2001


Analysis of Sparse Bayesian Learning
Anita C. Faul and Michael E. Tipping
Advances in Neural Information Processing Systems 14, 2001


Distribution of Mutual Information
Marcus Hutter
Advances in Neural Information Processing Systems 14, 2001


Scaling Laws and Local Minima in Hebbian ICA
Magnus Rattray and Gleb Basalyga
Advances in Neural Information Processing Systems 14, 2001


Algorithmic Luckiness
Ralf Herbrich and Robert C. Williamson
Advances in Neural Information Processing Systems 14, 2001


On Kernel-Target Alignment
Nello Cristianini, John Shawe-taylor, André Elisseeff and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001


Sampling Techniques for Kernel Methods
Dimitris Achlioptas, Frank Mcsherry and Bernhard Schölkopf
Advances in Neural Information Processing Systems 14, 2001


On the Convergence of Leveraging
Gunnar Rätsch, Sebastian Mika and Manfred K. Warmuth
Advances in Neural Information Processing Systems 14, 2001


PAC Generalization Bounds for Co-training
Sanjoy Dasgupta, Michael L. Littman and David A. Mcallester
Advances in Neural Information Processing Systems 14, 2001


Kernel Machines and Boolean Functions
Adam Kowalczyk, Alex J. Smola and Robert C. Williamson
Advances in Neural Information Processing Systems 14, 2001


On the Concentration of Spectral Properties
John Shawe-taylor, Nello Cristianini and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001


The Noisy Euclidean Traveling Salesman Problem and Learning
Mikio L. Braun and Joachim M. Buhmann
Advances in Neural Information Processing Systems 14, 2001


Computing Time Lower Bounds for Recurrent Sigmoidal Neural Networks
M. Schmitt
Advances in Neural Information Processing Systems 14, 2001


Boosting and Maximum Likelihood for Exponential Models
Guy Lebanon and John D. Lafferty
Advances in Neural Information Processing Systems 14, 2001


Fast Parameter Estimation Using Green's Functions
K. Wong and F. Li
Advances in Neural Information Processing Systems 14, 2001


On the Generalization Ability of On-Line Learning Algorithms
Nicolò Cesa-bianchi, Alex Conconi and Claudio Gentile
Advances in Neural Information Processing Systems 14, 2001


Information-Geometrical Significance of Sparsity in Gallager Codes
Toshiyuki Tanaka, Shiro Ikeda and Shun-ichi Amari
Advances in Neural Information Processing Systems 14, 2001


Means, Correlations and Bounds
Martijn Leisink and Bert Kappen
Advances in Neural Information Processing Systems 14, 2001


Generalization Performance of Some Learning Problems in Hilbert Functional Spaces
T. Zhang
Advances in Neural Information Processing Systems 14, 2001


Geometrical Singularities in the Neuromanifold of Multilayer Perceptrons
Shun-ichi Amari, Hyeyoung Park and Tomoko Ozeki
Advances in Neural Information Processing Systems 14, 2001


Efficiency versus Convergence of Boolean Kernels for On-Line Learning Algorithms
Roni Khardon, Dan Roth and Rocco A. Servedio
Advances in Neural Information Processing Systems 14, 2001


Gaussian Process Regression with Mismatched Models
Peter Sollich
Advances in Neural Information Processing Systems 14, 2001


Small-World Phenomena and the Dynamics of Information
Jon M. Kleinberg
Advances in Neural Information Processing Systems 14, 2001


Analog Soft-Pattern-Matching Classifier using Floating-Gate MOS Technology
Toshihiko Yamasaki and Tadashi Shibata
Advances in Neural Information Processing Systems 14, 2001


Citcuits for VLSI Implementation of Temporally Asymmetric Hebbian Learning
A. Bofill, D. P. Thompson and Alan F. Murray
Advances in Neural Information Processing Systems 14, 2001


An Efficient Clustering Algorithm Using Stochastic Association Model and Its Implementation Using Nanostructures
Takashi Morie, Tomohiro Matsuura, Makoto Nagata and Atsushi Iwata
Advances in Neural Information Processing Systems 14, 2001


Stochastic Mixed-Signal VLSI Architecture for High-Dimensional Kernel Machines
Roman Genov and Gert Cauwenberghs
Advances in Neural Information Processing Systems 14, 2001


Orientation-Selective aVLSI Spiking Neurons
Shih-chii Liu, Jörg Kramer, Giacomo Indiveri, Tobi Delbrück and Rodney J. Douglas
Advances in Neural Information Processing Systems 14, 2001


Learning Spike-Based Correlations and Conditional Probabilities in Silicon
Aaron P. Shon, David Hsu and Chris Diorio
Advances in Neural Information Processing Systems 14, 2001


Natural Language Grammar Induction Using a Constituent-Context Model
Dan Klein and Christopher D. Manning
Advances in Neural Information Processing Systems 14, 2001


Fragment Completion in Humans and Machines
David Jacobs, Bas Rokers, Archisman Rudra and Zili Liu
Advances in Neural Information Processing Systems 14, 2001


A Bayesian Model Predicts Human Parse Preference and Reading Times in Sentence Processing
S. Narayanan and Daniel Jurafsky
Advances in Neural Information Processing Systems 14, 2001


Reinforcement Learning and Time Perception -- a Model of Animal Experiments
Jonathan L. Shapiro and J. Wearden
Advances in Neural Information Processing Systems 14, 2001


Grammar Transfer in a Second Order Recurrent Neural Network
Michiro Negishi and Stephen J. Hanson
Advances in Neural Information Processing Systems 14, 2001


The Emergence of Multiple Movement Units in the Presence of Noise and Feedback Delay
Michael Kositsky and Andrew G. Barto
Advances in Neural Information Processing Systems 14, 2001


Generalizable Relational Binding from Coarse-coded Distributed Representations
Randall C. O'reilly and R. S. Busby
Advances in Neural Information Processing Systems 14, 2001


Causal Categorization with Bayes Nets
Bob Rehder
Advances in Neural Information Processing Systems 14, 2001


Modeling Temporal Structure in Classical Conditioning
Aaron C. Courville and David S. Touretzky
Advances in Neural Information Processing Systems 14, 2001


A Rational Analysis of Cognitive Control in a Speeded Discrimination Task
Michael C. Mozer, Michael D. Colagrosso and David E. Huber
Advances in Neural Information Processing Systems 14, 2001


Grammatical Bigrams
Mark A. Paskin
Advances in Neural Information Processing Systems 14, 2001


Constructing Distributed Representations Using Additive Clustering
Wheeler Ruml
Advances in Neural Information Processing Systems 14, 2001


A Model of the Phonological Loop: Generalization and Binding
Randall C. O'reilly and R. Soto
Advances in Neural Information Processing Systems 14, 2001


Probabilistic principles in unsupervised learning of visual structure: human data and a model
Shimon Edelman, Benjamin P. Hiles, Hwajin Yang and Nathan Intrator
Advances in Neural Information Processing Systems 14, 2001


A Quantitative Model of Counterfactual Reasoning
Daniel Yarlett and Michael Ramscar
Advances in Neural Information Processing Systems 14, 2001


Motivated Reinforcement Learning
Peter Dayan
Advances in Neural Information Processing Systems 14, 2001


Tree-based reparameterization for approximate inference on loopy graphs
Martin J. Wainwright, Tommi Jaakkola and Alan S. Willsky
Advances in Neural Information Processing Systems 14, 2001


The Concave-Convex Procedure (CCCP)
Alan L. Yuille and Anand Rangarajan
Advances in Neural Information Processing Systems 14, 2001


Pranking with Ranking
Koby Crammer and Yoram Singer
Advances in Neural Information Processing Systems 14, 2001


Linear-time inference in Hierarchical HMMs
Kevin P. Murphy and Mark A. Paskin
Advances in Neural Information Processing Systems 14, 2001


Reducing multiclass to binary by coupling probability estimates
B. Zadrozny
Advances in Neural Information Processing Systems 14, 2001


KLD-Sampling: Adaptive Particle Filters
Dieter Fox
Advances in Neural Information Processing Systems 14, 2001


K-Local Hyperplane and Convex Distance Nearest Neighbor Algorithms
Pascal Vincent and Yoshua Bengio
Advances in Neural Information Processing Systems 14, 2001


Rao-Blackwellised Particle Filtering via Data Augmentation
Christophe Andrieu, Nando D. Freitas and Arnaud Doucet
Advances in Neural Information Processing Systems 14, 2001


TAP Gibbs Free Energy, Belief Propagation and Sparsity
Lehel Csató, Manfred Opper and Ole Winther
Advances in Neural Information Processing Systems 14, 2001


Convolution Kernels for Natural Language
Michael Collins and Nigel Duffy
Advances in Neural Information Processing Systems 14, 2001


Learning from Infinite Data in Finite Time
Pedro Domingos and Geoff Hulten
Advances in Neural Information Processing Systems 14, 2001


A New Discriminative Kernel From Probabilistic Models
Koji Tsuda, Motoaki Kawanabe, Gunnar Rätsch, Sören Sonnenburg and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001


Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions
Kari Torkkola
Advances in Neural Information Processing Systems 14, 2001


(Not) Bounding the True Error
John Langford and Rich Caruana
Advances in Neural Information Processing Systems 14, 2001


Latent Dirichlet Allocation
David M. Blei, Andrew Y. Ng and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001


Multiplicative Updates for Classification by Mixture Models
Lawrence K. Saul and Daniel D. Lee
Advances in Neural Information Processing Systems 14, 2001


Active Information Retrieval
Tommi Jaakkola and Hava T. Siegelmann
Advances in Neural Information Processing Systems 14, 2001


Thin Junction Trees
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001


Quantizing Density Estimators
Peter Meinicke and Helge Ritter
Advances in Neural Information Processing Systems 14, 2001


Incremental Learning and Selective Sampling via Parametric Optimization Framework for SVM
Shai Fine and Katya Scheinberg
Advances in Neural Information Processing Systems 14, 2001


Learning Hierarchical Structures with Linear Relational Embedding
Alberto Paccanaro and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 14, 2001


Duality, Geometry, and Support Vector Regression
J. Bi and Kristin P. Bennett
Advances in Neural Information Processing Systems 14, 2001


A kernel method for multi-labelled classification
André Elisseeff and Jason Weston
Advances in Neural Information Processing Systems 14, 2001


Semi-supervised MarginBoost
Florence D'alché-buc, Yves Grandvalet and Christophe Ambroise
Advances in Neural Information Processing Systems 14, 2001


A General Greedy Approximation Algorithm with Applications
T. Zhang
Advances in Neural Information Processing Systems 14, 2001


Laplacian Eigenmaps and Spectral Techniques for Embedding and Clustering
Mikhail Belkin and Partha Niyogi
Advances in Neural Information Processing Systems 14, 2001


Spectral Relaxation for K-means Clustering
Hongyuan Zha, Xiaofeng He, Chris Ding, Ming Gu and Horst D. Simon
Advances in Neural Information Processing Systems 14, 2001


Product Analysis: Learning to Model Observations as Products of Hidden Variables
Brendan J. Frey, Anitha Kannan and Nebojsa Jojic
Advances in Neural Information Processing Systems 14, 2001


Very loopy belief propagation for unwrapping phase images
Brendan J. Frey, Ralf Koetter and Nemanja Petrovic
Advances in Neural Information Processing Systems 14, 2001


Risk Sensitive Particle Filters
Sebastian Thrun, John Langford and Vandi Verma
Advances in Neural Information Processing Systems 14, 2001


Fast, Large-Scale Transformation-Invariant Clustering
Brendan J. Frey and Nebojsa Jojic
Advances in Neural Information Processing Systems 14, 2001


Partially labeled classification with Markov random walks
Martin Szummer and Tommi Jaakkola
Advances in Neural Information Processing Systems 14, 2001


On Spectral Clustering: Analysis and an algorithm
Andrew Y. Ng, Michael I. Jordan and Yair Weiss
Advances in Neural Information Processing Systems 14, 2001


Kernel Feature Spaces and Nonlinear Blind Souce Separation
Stefan Harmeling, Andreas Ziehe, Motoaki Kawanabe and Klaus-robert Müller
Advances in Neural Information Processing Systems 14, 2001


Online Learning with Kernels
Jyrki Kivinen, Alex J. Smola and Robert C. Williamson
Advances in Neural Information Processing Systems 14, 2001


Incorporating Invariances in Non-Linear Support Vector Machines
Olivier Chapelle and Bernhard Schölkopf
Advances in Neural Information Processing Systems 14, 2001


Escaping the Convex Hull with Extrapolated Vector Machines
Patrick Haffner
Advances in Neural Information Processing Systems 14, 2001


A Parallel Mixture of SVMs for Very Large Scale Problems
Ronan Collobert, Samy Bengio and Yoshua Bengio
Advances in Neural Information Processing Systems 14, 2001


An Efficient, Exact Algorithm for Solving Tree-Structured Graphical Games
Michael L. Littman, Michael J. Kearns and Satinder P. Singh
Advances in Neural Information Processing Systems 14, 2001


On Discriminative vs. Generative Classifiers: A comparison of logistic regression and naive Bayes
Andrew Y. Ng and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001


A Generalization of Principal Components Analysis to the Exponential Family
Michael Collins, S. Dasgupta and Robert E. Schapire
Advances in Neural Information Processing Systems 14, 2001


MIME: Mutual Information Minimization and Entropy Maximization for Bayesian Belief Propagation
Anand Rangarajan and Alan L. Yuille
Advances in Neural Information Processing Systems 14, 2001


Adaptive Nearest Neighbor Classification Using Support Vector Machines
Carlotta Domeniconi and Dimitrios Gunopulos
Advances in Neural Information Processing Systems 14, 2001


Iterative Double Clustering for Unsupervised and Semi-Supervised Learning
Ran El-yaniv and Oren Souroujon
Advances in Neural Information Processing Systems 14, 2001


Agglomerative Multivariate Information Bottleneck
Noam Slonim, Nir Friedman and Naftali Tishby
Advances in Neural Information Processing Systems 14, 2001


Probabilistic Abstraction Hierarchies
Eran Segal, Daphne Koller and Dirk Ormoneit
Advances in Neural Information Processing Systems 14, 2001


Covariance Kernels from Bayesian Generative Models
Matthias Seeger
Advances in Neural Information Processing Systems 14, 2001


Dynamic Time-Alignment Kernel in Support Vector Machine
Hiroshi Shimodaira, Ken-ichi Noma, Mitsuru Nakai and Shigeki Sagayama
Advances in Neural Information Processing Systems 14, 2001


Multi Dimensional ICA to Separate Correlated Sources
Roland Vollgraf and Klaus Obermayer
Advances in Neural Information Processing Systems 14, 2001


Bayesian time series classification
Peter Sykacek and Stephen J. Roberts
Advances in Neural Information Processing Systems 14, 2001


Matching Free Trees with Replicator Equations
Marcello Pelillo
Advances in Neural Information Processing Systems 14, 2001


Spectral Kernel Methods for Clustering
Nello Cristianini, John Shawe-taylor and Jaz S. Kandola
Advances in Neural Information Processing Systems 14, 2001


Products of Gaussians
Christopher Williams, Felix V. Agakov and Stephen N. Felderhof
Advances in Neural Information Processing Systems 14, 2001


Learning Lateral Interactions for Feature Binding and Sensory Segmentation
Heiko Wersing
Advances in Neural Information Processing Systems 14, 2001


Kernel Logistic Regression and the Import Vector Machine
Ji Zhu and Trevor Hastie
Advances in Neural Information Processing Systems 14, 2001


Discriminative Direction for Kernel Classifiers
Polina Golland
Advances in Neural Information Processing Systems 14, 2001


EM-DD: An Improved Multiple-Instance Learning Technique
Qi Zhang and Sally A. Goldman
Advances in Neural Information Processing Systems 14, 2001


A Dynamic HMM for On-line Segmentation of Sequential Data
Jens Kohlmorgen and Steven Lemm
Advances in Neural Information Processing Systems 14, 2001


Blind Source Separation via Multinode Sparse Representation
Michael Zibulevsky, Pavel Kisilev, Yehoshua Y. Zeevi and Barak A. Pearlmutter
Advances in Neural Information Processing Systems 14, 2001


The Method of Quantum Clustering
David Horn and Assaf Gottlieb
Advances in Neural Information Processing Systems 14, 2001


Adaptive Sparseness Using Jeffreys Prior
Mário Figueiredo
Advances in Neural Information Processing Systems 14, 2001


Infinite Mixtures of Gaussian Process Experts
Carl E. Rasmussen and Zoubin Ghahramani
Advances in Neural Information Processing Systems 14, 2001


Global Coordination of Local Linear Models
Sam T. Roweis, Lawrence K. Saul and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 14, 2001


Approximate Dynamic Programming via Linear Programming
Daniela Farias and Benjamin V. Roy
Advances in Neural Information Processing Systems 14, 2001


Minimax Probability Machine
Gert Lanckriet, Laurent E. Ghaoui, Chiranjib Bhattacharyya and Michael I. Jordan
Advances in Neural Information Processing Systems 14, 2001


The Unified Propagation and Scaling Algorithm
Yee W. Teh and Max Welling
Advances in Neural Information Processing Systems 14, 2001


The Infinite Hidden Markov Model
Matthew J. Beal, Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 14, 2001