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Online Convex Programming and Generalized Infinitesimal Gradient Ascent
Martin Zinkevich
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Eliminating Class Noise in Large Datasets
Xingquan Zhu, Xindong Wu and Qijun Chen
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions
Xiaojin Zhu, Zoubin Ghahramani and John D. Lafferty
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


On the Convergence of Boosting Procedures
Tong Zhang and Bin Yu
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning
Yi Zhang, Wei Xu and James P. Callan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization
Jian Z. An, Rong Jin, Yiming Yang and Alexander G. Hauptmann
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning from Attribute Value Taxonomies and Partially Specified Instances
Jun Zhang and Vasant Honavar
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Isometric Embedding and Continuum ISOMAP
Hongyuan Zha and Zhenyue Zhang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution
Lei Yu and Huan Liu
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic
Lian Yan, Robert H. Dodier, Michael Mozer and Richard H. Wolniewicz
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Decision-tree Induction from Time-series Data Based on a Standard-example Split Test
Yuu Yamada, Einoshin Suzuki, Hideto Yokoi and Katsuhiko Takabayashi
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Cross-Entropy Directed Embedding of Network Data
Takeshi Yamada, Kazumi Saito and Naonori Ueda
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


New \'{\i}-Support Vector Machines and their Sequential Minimal Optimization
Xiaoyun Wu and Rohini K. Srihari
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning
Gang Wu and Edward Y. Chang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Bayesian Network Anomaly Pattern Detection for Disease Outbreaks
Weng-keen Wong, Andrew W. Moore, Gregory F. Cooper and Michael M. Wagner
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


DISTILL: Learning Domain-Specific Planners by Example
Elly Winner and Manuela M. Veloso
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Principled Methods for Advising Reinforcement Learning Agents
Eric Wiewiora, Garrison W. Cottrell and Charles Elkan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning Mixture Models with the Latent Maximum Entropy Principle
Shaojun Wang, Dale Schuurmans, Fuchun Peng and Yunxin Zhao
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Model-based Policy Gradient Reinforcement Learning
Xin Wang and Thomas G. Dietterich
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Testing Exchangeability On-Line
Vladimir Vovk, Ilia Nouretdinov and Alexander Gammerman
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


SimpleSVM
Alex J. Smola, M. N. Murty and S.v.n. Vishwanathan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Low Bias Bagged Support Vector Machines
Giorgio Valentini and Thomas G. Dietterich
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning on the Test Data: Leveraging Unseen Features
Ming F. Wong, Daphne Koller and Ben Taskar
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Evolutionary MCMC Sampling and Optimization in Discrete Spaces
Malcolm Strens
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining
Jeff L. Stimpson and Michael A. Goodrich
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Weighted Low-Rank Approximations
Nathan Srebro and Tommi Jaakkola
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning Predictive State Representations
Satinder P. Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe and Peter Stone
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Flexible Mixture Model for Collaborative Filtering
Luo Si and Rong Jin
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Text Bundling: Statistics Based Data-Reduction
Lawrence Shih, Jason D. Rennie, Yu-han Chang and David R. Karger
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


On State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data
Marc Sebban and Jean-christophe Janodet
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


TD(0) Converges Provably Faster than the Residual Gradient Algorithm
Ralf Schoknecht and Artur Merke
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Optimization with EM and Expectation-Conjugate-Gradient
Ruslan Salakhutdinov, Sam T. Roweis and Zoubin Ghahramani
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Adaptive Overrelaxed Bound Optimization Methods
Ruslan Salakhutdinov and Sam T. Roweis
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Q-Decomposition for Reinforcement Learning Agents
Stuart J. Russell and Andrew Zimdars
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Stochastic Local Search in k-Term DNF Learning
Ulrich Rückert and Stefan Kramer
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Kernel PLS-SVC for Linear and Nonlinear Classification
Roman Rosipal, Leonard J. Trejo and Bryan Matthews
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Combining TD-learning with Cascade-correlation Networks
Françcois Rivest and Doina Precup
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning with Knowledge from Multiple Experts
Matthew Richardson and Pedro Domingos
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Jason D. Rennie, Lawrence Shih, Jaime Teevan and David R. Karger
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Relativized Options: Choosing the Right Transformation
Balaraman Ravindran and Andrew G. Barto
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Weighted Order Statistic Classifiers with Large Rank-Order Margin
Reid B. Porter, Damian Eads, Don R. Hush and James Theiler
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Online Feature Selection using Grafting
Simon Perkins and James Theiler
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Mixtures of Conditional Maximum Entropy Models
Dmitry Pavlov, Alexandrin Popescul, David M. Pennock and Lyle H. Ungar
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Justification-based Multiagent Learning
Santiago Ontañón and Enric Plaza
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Machine Learning with Hyperkernels
Cheng S. Ong and Alex J. Smola
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Error Bounds for Approximate Policy Iteration
Rémi Munos
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning
Andrew An and Weng-keen Wong
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Using Linear-threshold Algorithms to Combine Multi-class Sub-experts
Chris Mesterharm
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Planning in the Presence of Cost Functions Controlled by an Adversary
H. B. Mcmahan, Geoffrey J. Gordon and Avrim Blum
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Identifying Predictive Structures in Relational Data Using Multiple Instance Learning
Amy Mcgovern and David Jensen
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Set Covering Machine with Data-Dependent Half-Spaces
Mario Marchand, Mohak Shah, John Shawe-taylor and Marina Sokolova
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Cross Entropy Method for Fast Policy Search
Shie Mannor, Reuven Y. Rubinstein and Yohai Gat
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Hierarchical Latent Knowledge Analysis for Co-occurrence Data
Hiroshi Mamitsuka
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Link-based Classification
Qing Lu and Lise Getoor
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


An Evaluation on Feature Selection for Text Clustering
Tao Liu, Shengping Liu, Zheng Chen and Wei-ying Ma
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Decision Tree with Better Ranking
Charles X. Ling and Robert J. Yan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


A Loss Function Analysis for Classification Methods in Text Categorization
Fan Li and Yiming Yang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Text Classification Using Stochastic Keyword Generation
Cong Li, Ji-rong Wen and Hang Li
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Linear Programming Boosting for Uneven Datasets
Jure Leskovec and John Shawe-taylor
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression
Wee S. Lee and Bing Liu
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping
Adam Laud and Gerald Dejong
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Robust Induction of Process Models from Time-Series Data
Pat Langley, Dileep George, Stephen D. Bay and Kazumi Saito
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Reinforcement Learning as Classification: Leveraging Modern Classifiers
Michail G. Lagoudakis and Ronald Parr
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves
Nicolas Lachiche and Peter A. Flach
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Pre-Image Problem in Kernel Methods
James T. Kwok and Ivor W. Tsang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning with Idealized Kernels
James T. Kwok and Ivor W. Tsang
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries
Jeremy Kubica, Andrew W. Moore, David Cohn and Jeff G. Schneider
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Classification of Text Documents Based on Minimum System Entropy
Raghu Krishnapuram, Krishna P. Chitrapura and Sachindra Joshi
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Visual Learning by Evolutionary Feature Synthesis
Krzysztof Krawiec and Bir Bhanu
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy
Clifford Kotnik and Jugal K. Kalita
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


A Kernel Between Sets of Vectors
Risi Kondor and Tony Jebara
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers
Aldebaro Klautau, Nikola Jevtic and Alon Orlitsky
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Unsupervised Learning with Permuted Data
Sergey Kirshner, Sridevi Parise and Padhraic Smyth
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Characteristics of Long-term Learning in Soar and its Application to the Utility Problem
William G. Kennedy and Kenneth Jong
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Informative Discriminant Analysis
Samuel Kaski and Jaakko Peltonen
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Marginalized Kernels Between Labeled Graphs
Hisashi Kashima, Koji Tsuda and Akihiro Inokuchi
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Representational Issues in Meta-Learning
Alexandros Kalousis and Melanie Hilario
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Exploration in Metric State Spaces
Sham Kakade, Michael J. Kearns and John Langford
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Evolving Strategies for Focused Web Crawling
Judy Johnson, Kostas Tsioutsiouliklis and C. L. Giles
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Transductive Learning via Spectral Graph Partitioning
Thorsten Joachims
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


A Faster Iterative Scaling Algorithm for Conditional Exponential Model
Rong Jin, Rong Yan, Jian Zhang and Alexander G. Hauptmann
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Avoiding Bias when Aggregating Relational Data with Degree Disparity
David Jensen, Jennifer Neville and Michael Hay
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Probabilistic Classifiers and the Concepts They Recognize
Manfred Jaeger
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Goal-directed Learning to Fly
Andrew Isaac and Claude Sammut
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Online Ranking/Collaborative Filtering Using the Perceptron Algorithm
Edward F. Harrington
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Correlated Q-Learning
Amy Greenwald and Keith Hall
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Hierarchical Policy Gradient Algorithms
Mohammad Ghavamzadeh and Sridhar Mahadevan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Perceptron Based Learning with Example Dependent and Noisy Costs
Peter Geibel and Fritz Wysotzki
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Margin Distribution and Learning
Ashutosh Garg and Dan Roth
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


An Analysis of Rule Evaluation Metrics
Johannes Fürnkranz and Peter A. Flach
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics
Peter A. Flach
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
Xiaoli Z. Fern and Carla E. Brodley
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Boosting Lazy Decision Trees
Xiaoli Z. Fern and Carla E. Brodley
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Utilizing Domain Knowledge in Neuroevolution
James Fan, Raymond Lau and Risto Miikkulainen
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Action Elimination and Stopping Conditions for Reinforcement Learning
Eyal Even-dar, Shie Mannor and Yishay Mansour
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning
Yaakov Engel, Shie Mannor and Ron Meir
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Using the Triangle Inequality to Accelerate k-Means
Charles Elkan
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Diffusion Approximation for Bayesian Markov Chains
Michael O. Duff
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Design for an Optimal Probe
Michael O. Duff
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Relational Instance Based Regression for Relational Reinforcement Learning
Kurt Driessens and Jan Ramon
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors
Dennis D. An and Dominic Mazzoni
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


On Kernel Methods for Relational Learning
Chad M. Cumby and Dan Roth
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Semi-Supervised Learning of Mixture Models
Fabio G. Cozman, Ira Cohen and Marcelo C. Cirelo
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games
Vincent Conitzer and Tuomas Sandholm
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents
Vincent C. An and Tuomas Sandholm
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Tractable Bayesian Learning of Tree Augmented Naive Bayes Models
Jes\'us Cerquides and Ramon Mántaras
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods
Gavin Brown and Jeremy L. Wyatt
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Incorporating Diversity in Active Learning with Support Vector Machines
Klaus Brinker
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Choosing Between Two Learning Algorithms Based on Calibrated Tests
Remco R. Bouckaert
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Regression Error Characteristic Curves
Jinbo Bi and Kristin P. Bennett
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Multi-Objective Programming in SVMs
Jinbo Bi
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning Logic Programs for Layout Analysis Correction
Margherita Berardi, Michelangelo Ceci, Floriana Esposito and Donato Malerba
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Online Choice of Active Learning Algorithms
Yoram Baram, Ran El-yaniv and Kobi Luz
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Learning Distance Functions using Equivalence Relations
Aharon Bar-hillel, Tomer Hertz, Noam Shental and Daphna Weinshall
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Hidden Markov Support Vector Machines
Yasemin Altun, Ioannis Tsochantaridis and Thomas Hofmann
Proceedings of the 20th International Conference on Machine Learning (ICML-03), 2003


Tree-Structured Neural Decoding
Christian D'avignon and Donald Geman
Journal of Machine Learning Research, 2003


Blind Separation of Post-nonlinear Mixtures using Linearizing Transformations and Temporal Decorrelation
Andreas Ziehe, Motoaki Kawanabe, Stefan Harmeling and Klaus-robert Müller
Journal of Machine Learning Research, 2003


A Unified Framework for Model-based Clustering
Shi Zhong and Joydeep Ghosh
Journal of Machine Learning Research, 2003


Kernel Methods for Relation Extraction
Dmitry Zelenko, Chinatsu Aone and Anthony Richardella
Journal of Machine Learning Research, 2003


Learning over Sets using Kernel Principal Angles
Lior Wolf and Amnon Shashua
Journal of Machine Learning Research, 2003


Use of the Zero-Norm with Linear Models and Kernel Methods
Jason Weston, André Elisseeff, Bernhard Schölkopf and Michael E. Tipping
Journal of Machine Learning Research, 2003


Blind Source Recovery: A Framework in the State Space
Khurram Waheed and Fathi M. Salem
Journal of Machine Learning Research, 2003


The em Algorithm for Kernel Matrix Completion with Auxiliary Data
Koji Tsuda, Shotaro Akaho and Kiyoshi Asai
Journal of Machine Learning Research, 2003


Feature Extraction by Non-Parametric Mutual Information Maximization
Kari Torkkola
Journal of Machine Learning Research, 2003


Energy-Based Models for Sparse Overcomplete Representations
Yee W. Teh, Max Welling, Simon Osindero and Geoffrey E. Hinton
Journal of Machine Learning Research, 2003


Path Kernels and Multiplicative Updates
Eiji Takimoto and Manfred K. Warmuth
Journal of Machine Learning Research, 2003


Ranking a Random Feature for Variable and Feature Selection
Hervé Stoppiglia, Gérard Dreyfus, Rémi Dubois and Yacine Oussar
Journal of Machine Learning Research, 2003


Sparseness of Support Vector Machines
Ingo Steinwart
Journal of Machine Learning Research, 2003


A Generative Model for Separating Illumination and Reflectance from Images
Inna Stainvas and David Lowe
Journal of Machine Learning Research, 2003


An Empirical Study of the Use of Relevance Information in Inductive Logic Programming
Ashwin Srinivasan, Ross D. King and Michael Bain
Journal of Machine Learning Research, 2003


Smooth Boosting and Learning with Malicious Noise
Rocco A. Servedio
Journal of Machine Learning Research, 2003


Think Globally, Fit Locally: Unsupervised Learning of Low Dimensional Manifold
Lawrence K. Saul and Sam T. Roweis
Journal of Machine Learning Research, 2003


Overlearning in Marginal Distribution-Based ICA: Analysis and Solutions
Jaakko Särelä and Ricardo Vigário
Journal of Machine Learning Research, 2003


MLPs (Mono-Layer Polynomials and Multi-Layer Perceptrons) for Nonlinear Modeling
Isabelle Rivals and Léon Personnaz
Journal of Machine Learning Research, 2003


Overfitting in Making Comparisons Between Variable Selection Methods
Juha Reunanen
Journal of Machine Learning Research, 2003


Variable Selection Using SVM-based Criteria
Alain Rakotomamonjy
Journal of Machine Learning Research, 2003


FINkNN: A Fuzzy Interval Number k-Nearest Neighbor Classifier for Prediction of Sugar Production from Populations of Samples
Vassilios Petridis and Vassilis G. Kaburlasos
Journal of Machine Learning Research, 2003


Tree Induction vs. Logistic Regression: A Learning-Curve Analysis
Claudia Perlich, Foster J. Provost and Jeffrey S. Simonoff
Journal of Machine Learning Research, 2003


Grafting: Fast, Incremental Feature Selection by Gradient Descent in Function Space
Simon Perkins, Kevin Lacker and James Theiler
Journal of Machine Learning Research, 2003


Blind Source Separation via Generalized Eigenvalue Decomposition
Lucas C. Parra and Paul Sajda
Journal of Machine Learning Research, 2003


ILP: A Short Look Back and a Longer Look Forward
David Page and Ashwin Srinivasan
Journal of Machine Learning Research, 2003


An Improved Scheme for Detection and Labelling in Johansson Displays
Claudio Fanti, Marzia Polito and Pietro Perona
Advances in Neural Information Processing Systems 16, 2003


Bayesian Color Constancy with Non-Gaussian Models
Charles Rosenberg, Alok Ladsariya and Tom Minka
Advances in Neural Information Processing Systems 16, 2003


A Sampled Texture Prior for Image Super-Resolution
Lyndsey C. Pickup, Stephen J. Roberts and Andrew Zisserman
Advances in Neural Information Processing Systems 16, 2003


A Computational Geometric Approach to Shape Analysis in Images
Anuj Srivastava, Xiuwen Liu, Washington Mio and Eric Klassen
Advances in Neural Information Processing Systems 16, 2003


Salient Boundary Detection using Ratio Contour
Song Wang, Toshiro Kubota and Jeffrey M. Siskind
Advances in Neural Information Processing Systems 16, 2003



Gwen Littlewort, Marian S. Bartlett, Ian Fasel, Joel Chenu, Takayuki Kanda, Hiroshi Ishiguro and Javier R. Movellan
Advances in Neural Information Processing Systems 16, 2003


Learning Non-Rigid 3D Shape from 2D Motion
Lorenzo Torresani, Aaron Hertzmann and Christoph Bregler
Advances in Neural Information Processing Systems 16, 2003


Automatic Annotation of Everyday Movements
Deva Ramanan and David A. Forsyth
Advances in Neural Information Processing Systems 16, 2003


Attractive People: Assembling Loose-Limbed Models using Non-parametric Belief Propagation
Leonid Sigal, Michael Isard, Benjamin H. Sigelman and Michael J. Black
Advances in Neural Information Processing Systems 16, 2003


Discriminative Fields for Modeling Spatial Dependencies in Natural Images
Sanjiv Kumar and Martial Hebert
Advances in Neural Information Processing Systems 16, 2003


Learning a Rare Event Detection Cascade by Direct Feature Selection
Jianxin Wu, James M. Rehg and Matthew D. Mullin
Advances in Neural Information Processing Systems 16, 2003


Mutual Boosting for Contextual Inference
Michael Fink and Pietro Perona
Advances in Neural Information Processing Systems 16, 2003


Factorization with Uncertainty and Missing Data: Exploiting Temporal Coherence
Amit Gruber and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Graphical Model For Recognizing Scenes and Objects
Antonio Torralba, William T. Freeman and Kevin P. Murphy
Advances in Neural Information Processing Systems 16, 2003


Discriminating Deformable Shape Classes
Salvador Ruiz-correa, Linda G. Shapiro, Marina Meila and Gabriel Berson
Advances in Neural Information Processing Systems 16, 2003


Bounded Invariance and the Formation of Place Fields
Reto Wyss and Paul F. Verschure
Advances in Neural Information Processing Systems 16, 2003


Eye Micro-movements Improve Stimulus Detection Beyond the Nyquist Limit in the Peripheral Retina
Matthias H. Hennig and Florentin Wörgötter
Advances in Neural Information Processing Systems 16, 2003


Eye Movements for Reward Maximization
Nathan Sprague and Dana Ballard
Advances in Neural Information Processing Systems 16, 2003


Human and Ideal Observers for Detecting Image Curves
Fang Fang, Daniel Kersten, Paul R. Schrater and Alan L. Yuille
Advances in Neural Information Processing Systems 16, 2003


A Functional Architecture for Motion Pattern Processing in MSTd
Scott A. Beardsley and Lucia M. Vaina
Advances in Neural Information Processing Systems 16, 2003


Nonlinear Processing in LGN Neurons
Vincent Bonin, Valerio Mante and Matteo Carandini
Advances in Neural Information Processing Systems 16, 2003


Local Phase Coherence and the Perception of Blur
Zhou Wang and Eero P. Simoncelli
Advances in Neural Information Processing Systems 16, 2003


A Classification-based Cocktail-party Processor
Nicoleta Roman, Deliang Wang and Guy J. Brown
Advances in Neural Information Processing Systems 16, 2003


One Microphone Blind Dereverberation Based on Quasi-periodicity of Speech Signals
Tomohiro Nakatani, Masato Miyoshi and Keisuke Kinoshita
Advances in Neural Information Processing Systems 16, 2003


Predicting Speech Intelligibility from a Population of Neurons
Jeff Bondy, Ian Bruce, Suzanna Becker and Simon Haykin
Advances in Neural Information Processing Systems 16, 2003


Eigenvoice Speaker Adaptation via Composite Kernel PCA
James T. Kwok, Brian Mak and Simon Ho
Advances in Neural Information Processing Systems 16, 2003


Probabilistic Inference of Speech Signals from Phaseless Spectrograms
Kannan Achan, Sam T. Roweis and Brendan J. Frey
Advances in Neural Information Processing Systems 16, 2003


A Kullback-Leibler Divergence Based Kernel for SVM Classification in Multimedia Applications
Pedro J. Moreno, Purdy P. Ho and Nuno Vasconcelos
Advances in Neural Information Processing Systems 16, 2003


Phonetic Speaker Recognition with Support Vector Machines
William M. Campbell, Joseph P. Campbell, Douglas A. Reynolds, Douglas A. Jones and Timothy R. Leek
Advances in Neural Information Processing Systems 16, 2003


Prediction on Spike Data Using Kernel Algorithms
Jan Eichhorn, Andreas Tolias, Alexander Zien, Malte Kuss, Jason Weston, Nikos Logothetis, Bernhard Schölkopf and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Decoding V1 Neuronal Activity using Particle Filtering with Volterra Kernels
Ryan Kelly and Tai S. Lee
Advances in Neural Information Processing Systems 16, 2003


A Probabilistic Model of Auditory Space Representation in the Barn Owl
Brian J. Fischer and Charles H. Anderson
Advances in Neural Information Processing Systems 16, 2003


Analytical Solution of Spike-timing Dependent Plasticity Based on Synaptic Biophysics
Bernd Porr, Ausra Saudargiene and Florentin Wörgötter
Advances in Neural Information Processing Systems 16, 2003


Estimating Internal Variables and Paramters of a Learning Agent by a Particle Filter
Kazuyuki Samejima, Kenji Doya, Yasumasa Ueda and Minoru Kimura
Advances in Neural Information Processing Systems 16, 2003


Probabilistic Inference in Human Sensorimotor Processing
Konrad P. Körding and Daniel Wolpert
Advances in Neural Information Processing Systems 16, 2003


Design of Experiments via Information Theory
Liam Paninski
Advances in Neural Information Processing Systems 16, 2003


Maximum Likelihood Estimation of a Stochastic Integrate-and-Fire Neural Model
Liam Paninski, Eero P. Simoncelli and Jonathan W. Pillow
Advances in Neural Information Processing Systems 16, 2003


Plasticity Kernels and Temporal Statistics
Peter Dayan and Michael Häusser
Advances in Neural Information Processing Systems 16, 2003


Mechanism of Neural Interference by Transcranial Magnetic Stimulation: Network or Single Neuron?
Yoichi Miyawaki and Masato Okada
Advances in Neural Information Processing Systems 16, 2003


A Biologically Plausible Algorithm for Reinforcement-shaped Representational Learning
Maneesh Sahani
Advances in Neural Information Processing Systems 16, 2003


Circuit Optimization Predicts Dynamic Network for Chemosensory Orientation in the Nematode C. elegans
Nathan A. Dunn, John S. Conery and Shawn R. Lockery
Advances in Neural Information Processing Systems 16, 2003


Dopamine Modulation in a Basal Ganglio-cortical Network Implements Saliency-based Gating of Working Memory
Aaron J. Gruber, Peter Dayan, Boris S. Gutkin and Sara A. Solla
Advances in Neural Information Processing Systems 16, 2003


The Diffusion-Limited Biochemical Signal-Relay Channel
Peter J. Thomas, Donald J. Spencer, Sierra K. Hampton, Peter Park and Joseph P. Zurkus
Advances in Neural Information Processing Systems 16, 2003


Information Dynamics and Emergent Computation in Recurrent Circuits of Spiking Neurons
Thomas Natschläger and Wolfgang Maass
Advances in Neural Information Processing Systems 16, 2003


The Doubly Balanced Network of Spiking Neurons: A Memory Model with High Capacity
Yuval Aviel, David Horn and Moshe Abeles
Advances in Neural Information Processing Systems 16, 2003


Margin Maximizing Loss Functions
Saharon Rosset, Ji Zhu and Trevor J. Hastie
Advances in Neural Information Processing Systems 16, 2003


Online Passive-Aggressive Algorithms
Shai Shalev-shwartz, Koby Crammer, Ofer Dekel and Yoram Singer
Advances in Neural Information Processing Systems 16, 2003


Measure Based Regularization
Olivier Bousquet, Olivier Chapelle and Matthias Hein
Advances in Neural Information Processing Systems 16, 2003


Information Bottleneck for Gaussian Variables
Gal Chechik, Amir Globerson, Naftali Tishby and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Ambiguous Model Learning Made Unambiguous with 1/f Priors
Gurinder S. Atwal and William Bialek
Advances in Neural Information Processing Systems 16, 2003


Learning Curves for Stochastic Gradient Descent in Linear Feedforward Networks
Justin Werfel, Xiaohui Xie and H. S. Seung
Advances in Neural Information Processing Systems 16, 2003


Approximate Analytical Bootstrap Averages for Support Vector Classifiers
Dörthe Malzahn and Manfred Opper
Advances in Neural Information Processing Systems 16, 2003


Limiting Form of the Sample Covariance Eigenspectrum in PCA and Kernel PCA
David Hoyle and Magnus Rattray
Advances in Neural Information Processing Systems 16, 2003


Large Margin Classifiers: Convex Loss, Low Noise, and Convergence Rates
Peter L. Bartlett, Michael I. Jordan and Jon D. Mcauliffe
Advances in Neural Information Processing Systems 16, 2003


Geometric Clustering Using the Information Bottleneck Method
Susanne Still, William Bialek and Léon Bottou
Advances in Neural Information Processing Systems 16, 2003


Variational Linear Response
Manfred Opper and Ole Winther
Advances in Neural Information Processing Systems 16, 2003


Learning Bounds for a Generalized Family of Bayesian Posterior Distributions
Tong Zhang
Advances in Neural Information Processing Systems 16, 2003


When Does Non-Negative Matrix Factorization Give a Correct Decomposition into Parts?
David Donoho and Victoria Stodden
Advances in Neural Information Processing Systems 16, 2003


Self-calibrating Probability Forecasting
Vladimir Vovk, Glenn Shafer and Ilia Nouretdinov
Advances in Neural Information Processing Systems 16, 2003


PAC-Bayesian Generic Chaining
Jean-yves Audibert and Olivier Bousquet
Advances in Neural Information Processing Systems 16, 2003


Near-Minimax Optimal Classification with Dyadic Classification Trees
Clayton Scott and Robert Nowak
Advances in Neural Information Processing Systems 16, 2003


Boosting versus Covering
Kohei Hatano and Manfred K. Warmuth
Advances in Neural Information Processing Systems 16, 2003


On the Dynamics of Boosting
Cynthia Rudin, Ingrid Daubechies and Robert E. Schapire
Advances in Neural Information Processing Systems 16, 2003


Online Learning of Non-stationary Sequences
Claire Monteleoni and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Error Bounds for Transductive Learning via Compression and Clustering
Philip Derbeko, Ran El-yaniv and Ron Meir
Advances in Neural Information Processing Systems 16, 2003


An Infinity-sample Theory for Multi-category Large Margin Classification
Tong Zhang
Advances in Neural Information Processing Systems 16, 2003


Sparseness of Support Vector Machines---Some Asymptotically Sharp Bounds
Ingo Steinwart
Advances in Neural Information Processing Systems 16, 2003


A Neuromorphic Multi-chip Model of a Disparity Selective Complex Cell
Bertram E. Shi and Eric K. Tsang
Advances in Neural Information Processing Systems 16, 2003


Entrainment of Silicon Central Pattern Generators for Legged Locomotory Control
Francesco Tenore, Ralph Etienne-cummings and M. A. Lewis
Advances in Neural Information Processing Systems 16, 2003


A Mixed-Signal VLSI for Real-Time Generation of Edge-Based Image Vectors
Masakazu Yagi, Hideo Yamasaki and Tadashi Shibata
Advances in Neural Information Processing Systems 16, 2003


Synchrony Detection by Analogue VLSI Neurons with Bimodal STDP Synapses
Adria Bofill-i-petit and Alan F. Murray
Advances in Neural Information Processing Systems 16, 2003


Training a Quantum Neural Network
Bob Ricks and Dan Ventura
Advances in Neural Information Processing Systems 16, 2003


Minimising Contrastive Divergence in Noisy, Mixed-mode VLSI Neurons
Hsin Chen, Patrice Fleury and Alan F. Murray
Advances in Neural Information Processing Systems 16, 2003


A Summating, Exponentially-Decaying CMOS Synapse for Spiking Neural Systems
Rock Z. Shi and Timothy K. Horiuchi
Advances in Neural Information Processing Systems 16, 2003


A Recurrent Model of Orientation Maps with Simple and Complex Cells
Paul Merolla and Kwabena A. Boahen
Advances in Neural Information Processing Systems 16, 2003


A Low-Power Analog VLSI Visual Collision Detector
Reid R. Harrison
Advances in Neural Information Processing Systems 16, 2003


Model Uncertainty in Classical Conditioning
Aaron C. Courville, Geoffrey J. Gordon, David S. Touretzky and Nathaniel D. Daw
Advances in Neural Information Processing Systems 16, 2003


A Holistic Approach to Compositional Semantics: A Connectionist Model and Robot Experiments
Yuuya Sugita and Jun Tani
Advances in Neural Information Processing Systems 16, 2003


Unsupervised Context Sensitive Language Acquisition from a Large Corpus
Zach Solan, David Horn, Eytan Ruppin and Shimon Edelman
Advances in Neural Information Processing Systems 16, 2003


From Algorithmic to Subjective Randomness
Thomas L. Griffiths and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 16, 2003


Perception of the Structure of the Physical World Using Unknown Multimodal Sensors and Effectors
D. Philipona, J.k. O'regan, J.-p. Nadal and Olivier Coenen
Advances in Neural Information Processing Systems 16, 2003


An MCMC-Based Method of Comparing Connectionist Models in Cognitive Science
Woojae Kim, Daniel J. Navarro, Mark A. Pitt and In J. Myung
Advances in Neural Information Processing Systems 16, 2003


Learning a World Model and Planning with a Self-Organizing, Dynamic Neural System
Marc Toussaint
Advances in Neural Information Processing Systems 16, 2003


Reasoning about Time and Knowledge in Neural Symbolic Learning Systems
Artur Garcez and Luis C. Lamb
Advances in Neural Information Processing Systems 16, 2003


Sensory Modality Segregation
Virginia Sa
Advances in Neural Information Processing Systems 16, 2003


Insights from Machine Learning Applied to Human Visual Classification
Felix A. Wichmann and Arnulf B. Graf
Advances in Neural Information Processing Systems 16, 2003


Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Milos Hauskrecht and Branislav Kveton
Advances in Neural Information Processing Systems 16, 2003


Distributed Optimization in Adaptive Networks
Ciamac C. Moallemi and Benjamin V. Roy
Advances in Neural Information Processing Systems 16, 2003


Auction Mechanism Design for Multi-Robot Coordination
Curt Bererton, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Extending Q-Learning to General Adaptive Multi-Agent Systems
Gerald Tesauro
Advances in Neural Information Processing Systems 16, 2003


Learning Near-Pareto-Optimal Conventions in Polynomial Time
Xiaofeng Wang and Tuomas Sandholm
Advances in Neural Information Processing Systems 16, 2003


A Nonlinear Predictive State Representation
Matthew R. Rudary and Satinder P. Singh
Advances in Neural Information Processing Systems 16, 2003


Approximate Policy Iteration with a Policy Language Bias
Alan Fern, Sungwook Yoon and Robert Givan
Advances in Neural Information Processing Systems 16, 2003


Robustness in Markov Decision Problems with Uncertain Transition Matrices
Arnab Nilim and Laurent E. Ghaoui
Advances in Neural Information Processing Systems 16, 2003


Policy Search by Dynamic Programming
J. A. Bagnell, Sham M. Kakade, Jeff G. Schneider and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003


Bounded Finite State Controllers
Pascal Poupart and Craig Boutilier
Advances in Neural Information Processing Systems 16, 2003


How to Combine Expert (and Novice) Advice when Actions Impact the Environment?
Nimrod Megiddo and Daniela D. Farias
Advances in Neural Information Processing Systems 16, 2003


All learning is Local: Multi-agent Learning in Global Reward Games
Yu-han Chang, Tracey Ho and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 16, 2003


Autonomous Helicopter Flight via Reinforcement Learning
H. J. Kim, Michael I. Jordan, Shankar Sastry and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003


An MDP-Based Approach to Online Mechanism Design
David C. Parkes and Satinder P. Singh
Advances in Neural Information Processing Systems 16, 2003


Envelope-based Planning in Relational MDPs
Natalia H. Gardiol and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 16, 2003


Approximate Planning in POMDPs with Macro-Actions
Georgios Theocharous and Leslie P. Kaelbling
Advances in Neural Information Processing Systems 16, 2003


ARA*: Anytime A* with Provable Bounds on Sub-Optimality
Maxim Likhachev, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Applying Metric-Trees to Belief-Point POMDPs
Joelle Pineau, Geoffrey J. Gordon and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Gaussian Processes in Reinforcement Learning
Malte Kuss and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Subject-Independent Magnetoencephalographic Source Localization by a Multilayer Perceptron
Sung C. Jun and Barak A. Pearlmutter
Advances in Neural Information Processing Systems 16, 2003


Increase Information Transfer Rates in BCI by CSP Extension to Multi-class
Guido Dornhege, Benjamin Blankertz, Gabriel Curio and Klaus-robert Müller
Advances in Neural Information Processing Systems 16, 2003


Impact of an Energy Normalization Transform on the Performance of the LF-ASD Brain Computer Interface
Yu Zhou, Steven G. Mason and Gary E. Birch
Advances in Neural Information Processing Systems 16, 2003


Nonlinear Filtering of Electron Micrographs by Means of Support Vector Regression
Roland Vollgraf, Michael Scholz, Ian A. Meinertzhagen and Klaus Obermayer
Advances in Neural Information Processing Systems 16, 2003


Training fMRI Classifiers to Discriminate Cognitive States across Multiple Subjects
Xuerui Wang, Rebecca A. Hutchinson and Tom M. Mitchell
Advances in Neural Information Processing Systems 16, 2003


Different Cortico-Basal Ganglia Loops Specialize in Reward Prediction at Different Time Scales
Saori C. Tanaka, Kenji Doya, Go Okada, Kazutaka Ueda, Yasumasa Okamoto and Shigeto Yamawaki
Advances in Neural Information Processing Systems 16, 2003


Reconstructing MEG Sources with Unknown Correlations
Maneesh Sahani and Srikantan S. Nagarajan
Advances in Neural Information Processing Systems 16, 2003


Gene Expression Clustering with Functional Mixture Models
Darya Chudova, Christopher Hart, Eric Mjolsness and Padhraic Smyth
Advances in Neural Information Processing Systems 16, 2003


ICA-based Clustering of Genes from Microarray Expression Data
Su-in Lee and Serafim Batzoglou
Advances in Neural Information Processing Systems 16, 2003


Unsupervised Color Decomposition Of Histologically Stained Tissue Samples
Andrew Rabinovich, Sameer Agarwal, Casey Laris, Jeffrey H. Price and Serge J. Belongie
Advances in Neural Information Processing Systems 16, 2003


Link Prediction in Relational Data
Ben Taskar, Ming-fai Wong, Pieter Abbeel and Daphne Koller
Advances in Neural Information Processing Systems 16, 2003


A Fast Multi-Resolution Method for Detection of Significant Spatial Disease Clusters
Daniel B. Neill and Andrew W. Moore
Advances in Neural Information Processing Systems 16, 2003


Kernels for Structured Natural Language Data
Jun Suzuki, Yutaka Sasaki and Eisaku Maeda
Advances in Neural Information Processing Systems 16, 2003


Application of SVMs for Colour Classification and Collision Detection with AIBO Robots
Michael J. Quinlan, Stephan K. Chalup and Richard H. Middleton
Advances in Neural Information Processing Systems 16, 2003


Modeling User Rating Profiles For Collaborative Filtering
Benjamin M. Marlin
Advances in Neural Information Processing Systems 16, 2003


Parameterized Novelty Detectors for Environmental Sensor Monitoring
Cynthia Archer, Antonio Baptista and Todd K. Leen
Advances in Neural Information Processing Systems 16, 2003


Markov Models for Automated ECG Interval Analysis
Nicholas P. Hughes, Lionel Tarassenko and Stephen J. Roberts
Advances in Neural Information Processing Systems 16, 2003


Statistical Debugging of Sampled Programs
Alice X. Zheng, Michael I. Jordan, Ben Liblit and Alex Aiken
Advances in Neural Information Processing Systems 16, 2003


Semi-supervised Protein Classification Using Cluster Kernels
Jason Weston, Dengyong Zhou, André Elisseeff, William S. Noble and Christina S. Leslie
Advances in Neural Information Processing Systems 16, 2003


An Autonomous Robotic System for Mapping Abandoned Mines
David Ferguson, Aaron Morris, Dirk Hähnel, Christopher Baker, Zachary Omohundro, Carlos Reverte, Scott Thayer, Charles Whittaker, William Whittaker, Wolfram Burgard and Sebastian Thrun
Advances in Neural Information Processing Systems 16, 2003


Fast Embedding of Sparse Similarity Graphs
John C. Platt
Advances in Neural Information Processing Systems 16, 2003


Algorithms for Interdependent Security Games
Michael Kearns and Luis E. Ortiz
Advances in Neural Information Processing Systems 16, 2003


A Model for Learning the Semantics of Pictures
Victor Lavrenko, R. Manmatha and Jiwoon Jeon
Advances in Neural Information Processing Systems 16, 2003


Classification with Hybrid Generative/Discriminative Models
Rajat Raina, Yirong Shen, Andrew Mccallum and Andrew Y. Ng
Advances in Neural Information Processing Systems 16, 2003


Necessary Intransitive Likelihood-Ratio Classifiers
Gang Ji and Jeff A. Bilmes
Advances in Neural Information Processing Systems 16, 2003


Probability Estimates for Multi-Class Classification by Pairwise Coupling
Ting-fan Wu, Chih-jen Lin and Ruby C. Weng
Advances in Neural Information Processing Systems 16, 2003


Bias-Corrected Bootstrap and Model Uncertainty
Harald Steck and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


No Unbiased Estimator of the Variance of K-Fold Cross-Validation
Yoshua Bengio and Yves Grandvalet
Advances in Neural Information Processing Systems 16, 2003


Minimax Embeddings
Matthew Brand
Advances in Neural Information Processing Systems 16, 2003


Log-Linear Models for Label Ranking
Ofer Dekel, Yoram Singer and Christopher D. Manning
Advances in Neural Information Processing Systems 16, 2003


Identifying Structure across Pre-partitioned Data
Zvika Marx, Ido Dagan and Eli Shamir
Advances in Neural Information Processing Systems 16, 2003


An Iterative Improvement Procedure for Hierarchical Clustering
David Kauchak and Sanjoy Dasgupta
Advances in Neural Information Processing Systems 16, 2003


Feature Selection in Clustering Problems
Volker Roth and Tilman Lange
Advances in Neural Information Processing Systems 16, 2003


Computing Gaussian Mixture Models with EM Using Equivalence Constraints
Noam Shental, Aharon Bar-hillel, Tomer Hertz and Daphna Weinshall
Advances in Neural Information Processing Systems 16, 2003


Semi-Definite Programming by Perceptron Learning
Thore Graepel, Ralf Herbrich, Andriy Kharechko and John S. Shawe-taylor
Advances in Neural Information Processing Systems 16, 2003


Learning to Find Pre-Images
Jason Weston, Bernhard Schölkopf and Gökhan H. Bakir
Advances in Neural Information Processing Systems 16, 2003


Laplace Propagation
Eleazar Eskin, Alex J. Smola and S.v.n. Vishwanathan
Advances in Neural Information Processing Systems 16, 2003


Generalised Propagation for Fast Fourier Transforms with Partial or Missing Data
Amos J. Storkey
Advances in Neural Information Processing Systems 16, 2003


Sample Propagation
Mark A. Paskin
Advances in Neural Information Processing Systems 16, 2003


Wormholes Improve Contrastive Divergence
Max Welling, Andriy Mnih and Geoffrey E. Hinton
Advances in Neural Information Processing Systems 16, 2003


Fast Algorithms for Large-State-Space HMMs with Applications to Web Usage Analysis
Pedro F. Felzenszwalb, Daniel P. Huttenlocher and Jon M. Kleinberg
Advances in Neural Information Processing Systems 16, 2003


Inferring State Sequences for Non-linear Systems with Embedded Hidden Markov Models
Radford M. Neal, Matthew J. Beal and Sam T. Roweis
Advances in Neural Information Processing Systems 16, 2003


On the Concentration of Expectation and Approximate Inference in Layered Networks
Xuanlong Nguyen and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Denoising and Untangling Graphs Using Degree Priors
Quaid D. Morris and Brendan J. Frey
Advances in Neural Information Processing Systems 16, 2003


Approximability of Probability Distributions
Alina Beygelzimer and Irina Rish
Advances in Neural Information Processing Systems 16, 2003


Semidefinite Relaxations for Approximate Inference on Graphs with Cycles
Michael I. Jordan and Martin J. Wainwright
Advances in Neural Information Processing Systems 16, 2003


Linear Response for Approximate Inference
Max Welling and Yee W. Teh
Advances in Neural Information Processing Systems 16, 2003


Approximate Expectation Maximization
Tom Heskes, Onno Zoeter and Wim Wiegerinck
Advances in Neural Information Processing Systems 16, 2003


Can We Learn to Beat the Best Stock
Allan Borodin, Ran El-yaniv and Vincent Gogan
Advances in Neural Information Processing Systems 16, 2003


Warped Gaussian Processes
Edward Snelson, Zoubin Ghahramani and Carl E. Rasmussen
Advances in Neural Information Processing Systems 16, 2003


Gaussian Process Latent Variable Models for Visualisation of High Dimensional Data
Neil D. Lawrence
Advances in Neural Information Processing Systems 16, 2003


Learning with Local and Global Consistency
Dengyong Zhou, Olivier Bousquet, Thomas N. Lal, Jason Weston and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


AUC Optimization vs. Error Rate Minimization
Corinna Cortes and Mehryar Mohri
Advances in Neural Information Processing Systems 16, 2003


Learning Spectral Clustering
Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Non-linear CCA and PCA by Alignment of Local Models
Jakob J. Verbeek, Sam T. Roweis and Nikos A. Vlassis
Advances in Neural Information Processing Systems 16, 2003


Finding the M Most Probable Configurations in Arbitrary Graphical Models
Chen Yanover and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Learning the k in k-means
Greg Hamerly and Charles Elkan
Advances in Neural Information Processing Systems 16, 2003


Nonstationary Covariance Functions for Gaussian Process Regression
Christopher J. Paciorek and Mark J. Schervish
Advances in Neural Information Processing Systems 16, 2003


Efficient Exact k-NN and Nonparametric Classification in High Dimensions
Ting Liu, Andrew W. Moore and Alexander G. Gray
Advances in Neural Information Processing Systems 16, 2003


Semi-Supervised Learning with Trees
Charles Kemp, Thomas L. Griffiths, Sean Stromsten and Joshua B. Tenenbaum
Advances in Neural Information Processing Systems 16, 2003


Perspectives on Sparse Bayesian Learning
Jason Palmer, Bhaskar D. Rao and David P. Wipf
Advances in Neural Information Processing Systems 16, 2003


Sparse Representation and Its Applications in Blind Source Separation
Yuanqing Li, Shun-ichi Amari, Sergei Shishkin, Jianting Cao, Fanji Gu and Andrzej S. Cichocki
Advances in Neural Information Processing Systems 16, 2003


Online Classification on a Budget
Koby Crammer, Jaz Kandola and Yoram Singer
Advances in Neural Information Processing Systems 16, 2003


Large Scale Online Learning
Léon Bottou and Yann L. Cun
Advances in Neural Information Processing Systems 16, 2003


Iterative Scaled Trust-Region Learning in Krylov Subspaces via Pearlmutter's Implicit Sparse Hessian-Vector Multiply
Eiji Mizutani and James W. Demmel
Advances in Neural Information Processing Systems 16, 2003


The IM Algorithm: A Variational Approach to Information Maximization
David Barber and Felix V. Agakov
Advances in Neural Information Processing Systems 16, 2003


Tree-structured Approximations by Expectation Propagation
Yuan Qi and Tom Minka
Advances in Neural Information Processing Systems 16, 2003


Pairwise Clustering and Graphical Models
Noam Shental, Assaf Zomet, Tomer Hertz and Yair Weiss
Advances in Neural Information Processing Systems 16, 2003


Out-of-Sample Extensions for LLE, Isomap, MDS, Eigenmaps, and Spectral Clustering
Yoshua Bengio, Jean-françcois Paiement, Pascal Vincent, Olivier Delalleau, Nicolas L. Roux and Marie Ouimet
Advances in Neural Information Processing Systems 16, 2003


Ranking on Data Manifolds
Dengyong Zhou, Jason Weston, Arthur Gretton, Olivier Bousquet and Bernhard Schölkopf
Advances in Neural Information Processing Systems 16, 2003


Optimal Manifold Representation of Data: An Information Theoretic Approach
Denis V. Chigirev and William Bialek
Advances in Neural Information Processing Systems 16, 2003


Locality Preserving Projections
Xiaofei He and Partha Niyogi
Advances in Neural Information Processing Systems 16, 2003


Linear Dependent Dimensionality Reduction
Nathan Srebro and Tommi S. Jaakkola
Advances in Neural Information Processing Systems 16, 2003


Extreme Components Analysis
Max Welling, Christopher Williams and Felix V. Agakov
Advances in Neural Information Processing Systems 16, 2003


Dynamical Modeling with Kernels for Nonlinear Time Series Prediction
Liva Ralaivola and Florence D'alché-buc
Advances in Neural Information Processing Systems 16, 2003


Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
Claudio Gentile
Advances in Neural Information Processing Systems 16, 2003


Sequential Bayesian Kernel Regression
Jaco Vermaak, Simon J. Godsill and Arnaud Doucet
Advances in Neural Information Processing Systems 16, 2003


Sparse Greedy Minimax Probability Machine Classification
Thomas Strohmann, Andrei Belitski, Greg Grudic and Dennis Decoste
Advances in Neural Information Processing Systems 16, 2003


Efficient and Robust Feature Extraction by Maximum Margin Criterion
Haifeng Li, Tao Jiang and Keshu Zhang
Advances in Neural Information Processing Systems 16, 2003


Clustering with the Connectivity Kernel
Bernd Fischer, Volker Roth and Joachim M. Buhmann
Advances in Neural Information Processing Systems 16, 2003


Kernel Dimensionality Reduction for Supervised Learning
Kenji Fukumizu, Francis R. Bach and Michael I. Jordan
Advances in Neural Information Processing Systems 16, 2003


Convex Methods for Transduction
Tijl D. Bie and Nello Cristianini
Advances in Neural Information Processing Systems 16, 2003


Multiple-Instance Learning via Disjunctive Programming Boosting
Stuart Andrews and Thomas Hofmann
Advances in Neural Information Processing Systems 16, 2003


Image Reconstruction by Linear Programming
Koji Tsuda and Gunnar Rätsch
Advances in Neural Information Processing Systems 16, 2003


1-norm Support Vector Machines
Ji Zhu, Saharon Rosset, Robert Tibshirani and Trevor J. Hastie
Advances in Neural Information Processing Systems 16, 2003


Learning a Distance Metric from Relative Comparisons
Matthew Schultz and Thorsten Joachims
Advances in Neural Information Processing Systems 16, 2003


Invariant Pattern Recognition by Semi-Definite Programming Machines
Thore Graepel and Ralf Herbrich
Advances in Neural Information Processing Systems 16, 2003


Max-Margin Markov Networks
Ben Taskar, Carlos Guestrin and Daphne Koller
Advances in Neural Information Processing Systems 16, 2003


Hierarchical Topic Models and the Nested Chinese Restaurant Process
Thomas L. Griffiths, Michael I. Jordan, Joshua B. Tenenbaum and David M. Blei
Advances in Neural Information Processing Systems 16, 2003


Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
Mark Girolami and Ata Kabán
Advances in Neural Information Processing Systems 16, 2003


Efficient Multiscale Sampling from Products of Gaussian Mixtures
Alexander T. Ihler, Erik B. Sudderth, William T. Freeman and Alan S. Willsky
Advances in Neural Information Processing Systems 16, 2003


Tracking Linear-threshold Concepts with Winnow
Chris Mesterharm
Journal of Machine Learning Research, 2003


On the Performance of Kernel Classes
Shahar Mendelson
Journal of Machine Learning Research, 2003


Generalization Error Bounds for Bayesian Mixture Algorithms
Ron Meir and Tong Zhang
Journal of Machine Learning Research, 2003


Concentration Inequalities for the Missing Mass and for Histogram Rule Error
David A. Mcallester and Luis E. Ortiz
Journal of Machine Learning Research, 2003


Speedup Learning for Repair-based Search by Identifying Redundant Steps
Shaul Markovitch and Asaf Shatil
Journal of Machine Learning Research, 2003


Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity
Shie Mannor, Ron Meir and Tong Zhang
Journal of Machine Learning Research, 2003


An Approximate Analytical Approach to Resampling Averages
Dörthe Malzahn and Manfred Opper
Journal of Machine Learning Research, 2003


Introduction to Special Issue on Independent Components Analysis
Te-won Lee, Jean-françcois Cardoso, Erkki Oja and Shun-ichi Amari
Journal of Machine Learning Research, 2003


ICA Using Spacings Estimates of Entropy
Erik G. Learned-miller and John Iii
Journal of Machine Learning Research, 2003


Fusion of Domain Knowledge with Data for Structural Learning in Object Oriented Domains
Helge Langseth and Thomas D. Nielsen
Journal of Machine Learning Research, 2003


Least-Squares Policy Iteration
Michail G. Lagoudakis and Ronald Parr
Journal of Machine Learning Research, 2003


On Nearest-Neighbor Error-Correcting Output Codes with Application to All-Pairs Multiclass Support Vector Machines
Aldebaro Klautau, Nikola Jevtic and Alon Orlitsky
Journal of Machine Learning Research, 2003


A Multiscale Framework For Blind Separation of Linearly Mixed Signals
Pavel Kisilev, Michael Zibulevsky and Yehoshua Y. Zeevi
Journal of Machine Learning Research, 2003


A Maximum Likelihood Approach to Single-channel Source Separation
Gil-jin Jang and Te-won Lee
Journal of Machine Learning Research, 2003


Optimality of Universal Bayesian Sequence Prediction for General Loss and Alphabet
Marcus Hutter
Journal of Machine Learning Research, 2003


Nash Q-Learning for General-Sum Stochastic Games
Junling Hu and Michael P. Wellman
Journal of Machine Learning Research, 2003


Introduction to the Special Issue on Learning Theory
Ralf Herbrich and Thore Graepel
Journal of Machine Learning Research, 2003


Preference Elicitation via Theory Refinement
Peter Haddawy, Vu A. Ha, Angelo C. Restificar, Benjamin Geisler and John Miyamoto
Journal of Machine Learning Research, 2003


An Introduction to Variable and Feature Selection
Isabelle Guyon and André Elisseeff
Journal of Machine Learning Research, 2003


Sufficient Dimensionality Reduction
Amir Globerson and Naftali Tishby
Journal of Machine Learning Research, 2003


Optimally-Smooth Adaptive Boosting and Application to Agnostic Learning
Dmitry Gavinsky
Journal of Machine Learning Research, 2003


Learning Behavior-Selection by Emotions and Cognition in a Multi-Goal Robot Task
Sandra C. Gadanho
Journal of Machine Learning Research, 2003


Learning Probabilistic Models: An Expected Utility Maximization Approach
Craig Friedman and Sven Sandow
Journal of Machine Learning Research, 2003


An Efficient Boosting Algorithm for Combining Preferences
Yoav Freund, Raj D. Iyer, Robert E. Schapire and Yoram Singer
Journal of Machine Learning Research, 2003


An Extensive Empirical Study of Feature Selection Metrics for Text Classification
George Forman
Journal of Machine Learning Research, 2003


Learning Rates for Q-learning
Eyal Even-dar and Yishay Mansour
Journal of Machine Learning Research, 2003


Combining Knowledge from Different Sources in Causal Probabilistic Models
Marek J. Druzdzel and Francisco J. D\'ıez
Journal of Machine Learning Research, 2003


A Divisive Information-Theoretic Feature Clustering Algorithm for Text Classification
Inderjit S. Dhillon, Subramanyam Mallela and Rahul Kumar
Journal of Machine Learning Research, 2003


A Family of Additive Online Algorithms for Category Ranking
Koby Crammer and Yoram Singer
Journal of Machine Learning Research, 2003


Ultraconservative Online Algorithms for Multiclass Problems
Koby Crammer and Yoram Singer
Journal of Machine Learning Research, 2003


Query Transformations for Improving the Efficiency of ILP Systems
V\'ıtor S. Costa, Ashwin Srinivasan, Rui Camacho, Hendrik Blockeel, Bart Demoen, Gerda Janssens, Jan Struyf, Henk Vandecasteele and Wim V. Laer
Journal of Machine Learning Research, 2003


Learning Semantic Lexicons from a Part-of-Speech and Semantically Tagged Corpus Using Inductive Logic Programming
Vincent Claveau, Pascale Sébillot, Cécile Fabre and Pierrette Bouillon
Journal of Machine Learning Research, 2003


Comparing Bayes Model Averaging and Stacking When Model Approximation Error Cannot be Ignored
Bertrand Clarke
Journal of Machine Learning Research, 2003


Inducing Grammars from Sparse Data Sets: A Survey of Algorithms and Results
Orlando Cicchello and Stefan C. Kremer
Journal of Machine Learning Research, 2003


Designing Committees of Models through Deliberate Weighting of Data Points
Stefan W. Christensen, Ian Sinclair and Philippa Reed
Journal of Machine Learning Research, 2003


On Inclusion-Driven Learning of Bayesian Networks
Robert Castelo and Tomás Kocka
Journal of Machine Learning Research, 2003


Benefitting from the Variables that Variable Selection Discards
Rich Caruana and Virginia Sa
Journal of Machine Learning Research, 2003


Dependence, Correlation and Gaussianity in Independent Component Analysis
Jean-françcois Cardoso
Journal of Machine Learning Research, 2003


Word-Sequence Kernels
Nicola Cancedda, Éric Gaussier, Cyril Goutte and Jean-michel Renders
Journal of Machine Learning Research, 2003


Bottom-Up Relational Learning of Pattern Matching Rules for Information Extraction
Mary E. Califf and Raymond J. Mooney
Journal of Machine Learning Research, 2003


On the Proper Learning of Axis-Parallel Concepts
Nader H. Bshouty and Lynn Burroughs
Journal of Machine Learning Research, 2003


ICA for Watermarking Digital Images
Stéphane Bounkong, Borémi Toch, David Saad and David Lowe
Journal of Machine Learning Research, 2003


Relational Learning as Search in a Critical Region
Marco Botta, Attilio Giordana, Lorenza Saitta and Mich\`ele Sebag
Journal of Machine Learning Research, 2003


Latent Dirichlet Allocation
David M. Blei, Andrew Y. Ng and Michael I. Jordan
Journal of Machine Learning Research, 2003


On the Rate of Convergence of Regularized Boosting Classifiers
Gilles Blanchard, Gábor Lugosi and Nicolas Vayatis
Journal of Machine Learning Research, 2003


Dimensionality Reduction via Sparse Support Vector Machines
Jinbo Bi, Kristin P. Bennett, Mark J. Embrechts, Curt M. Breneman and Minghu Song
Journal of Machine Learning Research, 2003


A Neural Probabilistic Language Model
Yoshua Bengio, Réjean Ducharme, Pascal Vincent and Christian Janvin
Journal of Machine Learning Research, 2003


Extensions to Metric-Based Model Selection
Yoshua Bengio and Nicolas Chapados
Journal of Machine Learning Research, 2003


Distributional Word Clusters vs. Words for Text Categorization
Ron Bekkerman, Ran El-yaniv, Naftali Tishby and Yoad Winter
Journal of Machine Learning Research, 2003


Statistical Dynamics of On-line Independent Component Analysis
Gleb Basalyga and Magnus Rattray
Journal of Machine Learning Research, 2003


Matching Words and Pictures
Kobus Barnard, Pinar Duygulu, David A. Forsyth, Nando D. Freitas, David M. Blei and Michael I. Jordan
Journal of Machine Learning Research, 2003


The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem
Pierre Baldi and Gianluca Pollastri
Journal of Machine Learning Research, 2003


Task Clustering and Gating for Bayesian Multitask Learning
Bart Bakker and Tom Heskes
Journal of Machine Learning Research, 2003


Beyond Independent Components: Trees and Clusters
Francis R. Bach and Michael I. Jordan
Journal of Machine Learning Research, 2003


MISEP -- Linear and Nonlinear ICA Based on Mutual Information
Luis B. Almeida
Journal of Machine Learning Research, 2003