| 2003 | A Faster Iterative Scaling Algorithm for Conditional Exponential Model. Rong Jin, Rong Yan, Jian Zhang, Alexander G. Hauptmann |
| 2003 | A Kernel Between Sets of Vectors. Risi Kondor, Tony Jebara |
| 2003 | A Loss Function Analysis for Classification Methods in Text Categorization. Fan Li, Yiming Yang |
| 2003 | AWESOME: A General Multiagent Learning Algorithm that Converges in Self-Play and Learns a Best Response Against Stationary Opponents. Vincent Conitzer, Tuomas Sandholm |
| 2003 | Action Elimination and Stopping Conditions for Reinforcement Learning. Eyal Even-Dar, Shie Mannor, Yishay Mansour |
| 2003 | Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning. Gang Wu, Edward Y. Chang |
| 2003 | Adaptive Overrelaxed Bound Optimization Methods. Ruslan Salakhutdinov, Sam T. Roweis |
| 2003 | An Analysis of Rule Evaluation Metrics. Johannes Fürnkranz, Peter A. Flach |
| 2003 | An Evaluation on Feature Selection for Text Clustering. Tao Liu, Shengping Liu, Zheng Chen, Wei-Ying Ma |
| 2003 | Avoiding Bias when Aggregating Relational Data with Degree Disparity. David D. Jensen, Jennifer Neville, Michael Hay |
| 2003 | BL-WoLF: A Framework For Loss-Bounded Learnability In Zero-Sum Games. Vincent Conitzer, Tuomas Sandholm |
| 2003 | Bayes Meets Bellman: The Gaussian Process Approach to Temporal Difference Learning. Yaakov Engel, Shie Mannor, Ron Meir |
| 2003 | Bayesian Network Anomaly Pattern Detection for Disease Outbreaks. Weng-Keen Wong, Andrew W. Moore, Gregory F. Cooper, Michael M. Wagner |
| 2003 | Boosting Lazy Decision Trees. Xiaoli Zhang Fern, Carla E. Brodley |
| 2003 | Characteristics of Long-term Learning in Soar and its Application to the Utility Problem. William G. Kennedy, Kenneth A. De Jong |
| 2003 | Choosing Between Two Learning Algorithms Based on Calibrated Tests. Remco R. Bouckaert |
| 2003 | Classification of Text Documents Based on Minimum System Entropy. Raghu Krishnapuram, Krishna Prasad Chitrapura, Sachindra Joshi |
| 2003 | Combining TD-learning with Cascade-correlation Networks. François Rivest, Doina Precup |
| 2003 | Correlated Q-Learning. Amy Greenwald, Keith Hall |
| 2003 | Cross-Entropy Directed Embedding of Network Data. Takeshi Yamada, Kazumi Saito, Naonori Ueda |
| 2003 | DISTILL: Learning Domain-Specific Planners by Example. Elly Winner, Manuela M. Veloso |
| 2003 | Decision Tree with Better Ranking. Charles X. Ling, Robert J. Yan |
| 2003 | Decision-tree Induction from Time-series Data Based on a Standard-example Split Test. Yuu Yamada, Einoshin Suzuki, Hideto Yokoi, Katsuhiko Takabayashi |
| 2003 | Design for an Optimal Probe. Michael O. Duff |
| 2003 | Diffusion Approximation for Bayesian Markov Chains. Michael O. Duff |
| 2003 | Discriminative Gaussian Mixture Models: A Comparison with Kernel Classifiers. Aldebaro Klautau, Nikola Jevtic, Alon Orlitsky |
| 2003 | Eliminating Class Noise in Large Datasets. Xingquan Zhu, Xindong Wu, Qijun Chen |
| 2003 | Error Bounds for Approximate Policy Iteration. Rémi Munos |
| 2003 | Evolutionary MCMC Sampling and Optimization in Discrete Spaces. Malcolm J. A. Strens |
| 2003 | Evolving Strategies for Focused Web Crawling. Judy Johnson, Kostas Tsioutsiouliklis, C. Lee Giles |
| 2003 | Exploration and Exploitation in Adaptive Filtering Based on Bayesian Active Learning. Yi Zhang, Wei Xu, James P. Callan |
| 2003 | Exploration in Metric State Spaces. Sham M. Kakade, Michael J. Kearns, John Langford |
| 2003 | Fast Query-Optimized Kernel Machine Classification Via Incremental Approximate Nearest Support Vectors. Dennis DeCoste, Dominic Mazzoni |
| 2003 | Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution. Lei Yu, Huan Liu |
| 2003 | Finding Underlying Connections: A Fast Graph-Based Method for Link Analysis and Collaboration Queries. Jeremy Kubica, Andrew W. Moore, David Cohn, Jeff G. Schneider |
| 2003 | Flexible Mixture Model for Collaborative Filtering. Luo Si, Rong Jin |
| 2003 | Goal-directed Learning to Fly. Andrew Isaac, Claude Sammut |
| 2003 | Hidden Markov Support Vector Machines. Yasemin Altun, Ioannis Tsochantaridis, Thomas Hofmann |
| 2003 | Hierarchical Latent Knowledge Analysis for Co-occurrence Data. Hiroshi Mamitsuka |
| 2003 | Hierarchical Policy Gradient Algorithms. Mohammad Ghavamzadeh, Sridhar Mahadevan |
| 2003 | Identifying Predictive Structures in Relational Data Using Multiple Instance Learning. Amy McGovern, David D. Jensen |
| 2003 | Improving Accuracy and Cost of Two-class and Multi-class Probabilistic Classifiers Using ROC Curves. Nicolas Lachiche, Peter A. Flach |
| 2003 | Incorporating Diversity in Active Learning with Support Vector Machines. Klaus Brinker |
| 2003 | Informative Discriminant Analysis. Samuel Kaski, Jaakko Peltonen |
| 2003 | Isometric Embedding and Continuum ISOMAP. Hongyuan Zha, Zhenyue Zhang |
| 2003 | Justification-based Multiagent Learning. Santiago Ontañón, Enric Plaza |
| 2003 | Kernel PLS-SVC for Linear and Nonlinear Classification. Roman Rosipal, Leonard J. Trejo, Bryan Matthews |
| 2003 | Learning Distance Functions using Equivalence Relations. Aharon Bar-Hillel, Tomer Hertz, Noam Shental, Daphna Weinshall |
| 2003 | Learning Logic Programs for Layout Analysis Correction. Margherita Berardi, Michelangelo Ceci, Floriana Esposito, Donato Malerba |
| 2003 | Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation. Zhihua Zhang |
| 2003 | Learning Mixture Models with the Latent Maximum Entropy Principle. Shaojun Wang, Dale Schuurmans, Fuchun Peng, Yunxin Zhao |
| 2003 | Learning Predictive State Representations. Satinder Singh, Michael L. Littman, Nicholas K. Jong, David Pardoe, Peter Stone |
| 2003 | Learning To Cooperate in a Social Dilemma: A Satisficing Approach to Bargaining. Jeff L. Stimpson, Michael A. Goodrich |
| 2003 | Learning from Attribute Value Taxonomies and Partially Specified Instances. Jun Zhang, Vasant G. Honavar |
| 2003 | Learning on the Test Data: Leveraging Unseen Features. Benjamin Taskar, Ming Fai Wong, Daphne Koller |
| 2003 | Learning with Idealized Kernels. James T. Kwok, Ivor W. Tsang |
| 2003 | Learning with Knowledge from Multiple Experts. Matthew Richardson, Pedro M. Domingos |
| 2003 | Learning with Positive and Unlabeled Examples Using Weighted Logistic Regression. Wee Sun Lee, Bing Liu |
| 2003 | Linear Programming Boosting for Uneven Datasets. Jure Leskovec, John Shawe-Taylor |
| 2003 | Link-based Classification. Qing Lu, Lise Getoor |
| 2003 | Low Bias Bagged Support Vector Machines. Giorgio Valentini, Thomas G. Dietterich |
| 2003 | Machine Learning with Hyperkernels. Cheng Soon Ong, Alexander J. Smola |
| 2003 | Machine Learning, Proceedings of the Twentieth International Conference (ICML 2003), August 21-24, 2003, Washington, DC, USA Tom Fawcett, Nina Mishra |
| 2003 | Margin Distribution and Learning. Ashutosh Garg, Dan Roth |
| 2003 | Marginalized Kernels Between Labeled Graphs. Hisashi Kashima, Koji Tsuda, Akihiro Inokuchi |
| 2003 | Mixtures of Conditional Maximum Entropy Models. Dmitry Pavlov, Alexandrin Popescul, David M. Pennock, Lyle H. Ungar |
| 2003 | Model-based Policy Gradient Reinforcement Learning. Xin Wang, Thomas G. Dietterich |
| 2003 | Modified Logistic Regression: An Approximation to SVM and Its Applications in Large-Scale Text Categorization. Jian Zhang, Rong Jin, Yiming Yang, Alexander G. Hauptmann |
| 2003 | Multi-Objective Programming in SVMs. Jinbo Bi |
| 2003 | New í-Support Vector Machines and their Sequential Minimal Optimization. Xiaoyun Wu, Rohini K. Srihari |
| 2003 | On Kernel Methods for Relational Learning. Chad M. Cumby, Dan Roth |
| 2003 | On State Merging in Grammatical Inference: A Statistical Approach for Dealing with Noisy Data. Marc Sebban, Jean-Christophe Janodet |
| 2003 | On the Convergence of Boosting Procedures. Tong Zhang, Bin Yu |
| 2003 | Online Choice of Active Learning Algorithms. Yoram Baram, Ran El-Yaniv, Kobi Luz |
| 2003 | Online Convex Programming and Generalized Infinitesimal Gradient Ascent. Martin Zinkevich |
| 2003 | Online Feature Selection using Grafting. Simon Perkins, James Theiler |
| 2003 | Online Ranking/Collaborative Filtering Using the Perceptron Algorithm. Edward F. Harrington |
| 2003 | Optimal Reinsertion: A New Search Operator for Accelerated and More Accurate Bayesian Network Structure Learning. Andrew W. Moore, Weng-Keen Wong |
| 2003 | Optimization with EM and Expectation-Conjugate-Gradient. Ruslan Salakhutdinov, Sam T. Roweis, Zoubin Ghahramani |
| 2003 | Optimizing Classifier Performance via an Approximation to the Wilcoxon-Mann-Whitney Statistic. Lian Yan, Robert H. Dodier, Michael Mozer, Richard H. Wolniewicz |
| 2003 | Perceptron Based Learning with Example Dependent and Noisy Costs. Peter Geibel, Fritz Wysotzki |
| 2003 | Planning in the Presence of Cost Functions Controlled by an Adversary. H. Brendan McMahan, Geoffrey J. Gordon, Avrim Blum |
| 2003 | Principled Methods for Advising Reinforcement Learning Agents. Eric Wiewiora, Garrison W. Cottrell, Charles Elkan |
| 2003 | Probabilistic Classifiers and the Concepts They Recognize. Manfred Jaeger |
| 2003 | Q-Decomposition for Reinforcement Learning Agents. Stuart Russell, Andrew Zimdars |
| 2003 | Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach. Xiaoli Zhang Fern, Carla E. Brodley |
| 2003 | Regression Error Characteristic Curves. Jinbo Bi, Kristin P. Bennett |
| 2003 | Reinforcement Learning as Classification: Leveraging Modern Classifiers. Michail G. Lagoudakis, Ronald Parr |
| 2003 | Relational Instance Based Regression for Relational Reinforcement Learning. Kurt Driessens, Jan Ramon |
| 2003 | Relativized Options: Choosing the Right Transformation. Balaraman Ravindran, Andrew G. Barto |
| 2003 | Representational Issues in Meta-Learning. Alexandros Kalousis, Melanie Hilario |
| 2003 | Robust Induction of Process Models from Time-Series Data. Pat Langley, Dileep George, Stephen D. Bay, Kazumi Saito |
| 2003 | Semi-Supervised Learning Using Gaussian Fields and Harmonic Functions. Xiaojin Zhu, Zoubin Ghahramani, John D. Lafferty |
| 2003 | Semi-Supervised Learning of Mixture Models. Fábio Gagliardi Cozman, Ira Cohen, Marcelo Cesar Cirelo |
| 2003 | SimpleSVM. S. V. N. Vishwanathan, Alexander J. Smola, M. Narasimha Murty |
| 2003 | Solving Noisy Linear Operator Equations by Gaussian Processes: Application to Ordinary and Partial Differential Equations. Thore Graepel |
| 2003 | Stochastic Local Search in k-Term DNF Learning. Ulrich Rückert, Stefan Kramer |
| 2003 | TD(0) Converges Provably Faster than the Residual Gradient Algorithm. Ralf Schoknecht, Artur Merke |
| 2003 | Tackling the Poor Assumptions of Naive Bayes Text Classifiers. Jason D. M. Rennie, Lawrence Shih, Jaime Teevan, David R. Karger |
| 2003 | Testing Exchangeability On-Line. Vladimir Vovk, Ilia Nouretdinov, Alex Gammerman |
| 2003 | Text Bundling: Statistics Based Data-Reduction. Lawrence Shih, Jason D. M. Rennie, Yu-Han Chang, David R. Karger |
| 2003 | Text Classification Using Stochastic Keyword Generation. Cong Li, Ji-Rong Wen, Hang Li |
| 2003 | The Cross Entropy Method for Fast Policy Search. Shie Mannor, Reuven Y. Rubinstein, Yohai Gat |
| 2003 | The Geometry of ROC Space: Understanding Machine Learning Metrics through ROC Isometrics. Peter A. Flach |
| 2003 | The Influence of Reward on the Speed of Reinforcement Learning: An Analysis of Shaping. Adam Laud, Gerald DeJong |
| 2003 | The Pre-Image Problem in Kernel Methods. James T. Kwok, Ivor W. Tsang |
| 2003 | The Set Covering Machine with Data-Dependent Half-Spaces. Mario Marchand, Mohak Shah, John Shawe-Taylor, Marina Sokolova |
| 2003 | The Significance of Temporal-Difference Learning in Self-Play Training TD-Rummy versus EVO-rummy. Clifford Kotnik, Jugal K. Kalita |
| 2003 | The Use of the Ambiguity Decomposition in Neural Network Ensemble Learning Methods. Gavin Brown, Jeremy L. Wyatt |
| 2003 | Tractable Bayesian Learning of Tree Augmented Naive Bayes Models. Jesús Cerquides, Ramón López de Mántaras |
| 2003 | Transductive Learning via Spectral Graph Partitioning. Thorsten Joachims |
| 2003 | Unsupervised Learning with Permuted Data. Sergey Kirshner, Sridevi Parise, Padhraic Smyth |
| 2003 | Using Linear-threshold Algorithms to Combine Multi-class Sub-experts. Chris Mesterharm |
| 2003 | Using the Triangle Inequality to Accelerate k-Means. Charles Elkan |
| 2003 | Utilizing Domain Knowledge in Neuroevolution. James Fan, Raymond Lau, Risto Miikkulainen |
| 2003 | Visual Learning by Evolutionary Feature Synthesis. Krzysztof Krawiec, Bir Bhanu |
| 2003 | Weighted Low-Rank Approximations. Nathan Srebro, Tommi S. Jaakkola |
| 2003 | Weighted Order Statistic Classifiers with Large Rank-Order Margin. Reid B. Porter, Damian Eads, Don R. Hush, James Theiler |