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All publications at Proceedings of the 20th International Conference on Machine Learning (ICML-03)
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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