| 2001 | A General Method for Scaling Up Machine Learning Algorithms and its Application to Clustering. Pedro M. Domingos, Geoff Hulten |
| 2001 | A Generalized Kalman Filter for Fixed Point Approximation and Efficient Temporal Difference Learning. David Choi, Benjamin Van Roy |
| 2001 | A Multi-Agent Policy-Gradient Approach to Network Routing. Nigel Tao, Jonathan Baxter, Lex Weaver |
| 2001 | A Theory-Refinement Approach to Information Extraction. Tina Eliassi-Rad, Jude W. Shavlik |
| 2001 | A Unified Loss Function in Bayesian Framework for Support Vector Regression. Wei Chu, S. Sathiya Keerthi, Chong Jin Ong |
| 2001 | A procedure for unsupervised lexicon learning. Anand Venkataraman |
| 2001 | Adjusting the Outputs of a Classifier to New a Priori Probabilities May Significantly Improve Classification Accuracy: Evidence from a multi-class problem in remote sensing. Patrice Latinne, Marco Saerens, Christine Decaestecker |
| 2001 | An Efficient Approach for Approximating Multi-dimensional Range Queries and Nearest Neighbor Classification in Large Datasets. Carlotta Domeniconi, Dimitrios Gunopulos |
| 2001 | An Improved Predictive Accuracy Bound for Averaging Classifiers. John Langford, Matthias W. Seeger, Nimrod Megiddo |
| 2001 | Application of Fuzzy Similarity-Based Fractal Dimensions to Characterize Medical Time Series. Manish Sarkar, Tze-Yun Leong |
| 2001 | Automatic Discovery of Subgoals in Reinforcement Learning using Diverse Density. Amy McGovern, Andrew G. Barto |
| 2001 | Average-Reward Reinforcement Learning for Variance Penalized Markov Decision Problems. Makoto Sato, Shigenobu Kobayashi |
| 2001 | Bayesian approaches to failure prediction for disk drives. Greg Hamerly, Charles Elkan |
| 2001 | Bias Correction in Classification Tree Construction. Alin Dobra, Johannes Gehrke |
| 2001 | Boosting Neighborhood-Based Classifiers. Marc Sebban, Richard Nock, Stéphane Lallich |
| 2001 | Boosting Noisy Data. Abba Krieger, Chuan Long, Abraham J. Wyner |
| 2001 | Boosting with Confidence Information. Craig W. Codrington |
| 2001 | Breeding Decision Trees Using Evolutionary Techniques. Athanassios Papagelis, Dimitrios Kalles |
| 2001 | Clustering Continuous Time Series. Paola Sebastiani, Marco Ramoni |
| 2001 | Collaborative Learning and Recommender Systems. Wee Sun Lee |
| 2001 | Composite Kernels for Hypertext Categorisation. Thorsten Joachims, Nello Cristianini, John Shawe-Taylor |
| 2001 | Comprehensible Interpretation of Relief's Estimates. Marko Robnik-Sikonja, Igor Kononenko |
| 2001 | Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data. John D. Lafferty, Andrew McCallum, Fernando C. N. Pereira |
| 2001 | Constrained K-means Clustering with Background Knowledge. Kiri Wagstaff, Claire Cardie, Seth Rogers, Stefan Schrödl |
| 2001 | Continuous-Time Hierarchical Reinforcement Learning. Mohammad Ghavamzadeh, Sridhar Mahadevan |
| 2001 | Convergence of Gradient Dynamics with a Variable Learning Rate. Michael H. Bowling, Manuela M. Veloso |
| 2001 | Convergence rates of the Voting Gibbs classifier, with application to Bayesian feature selection. Andrew Y. Ng, Michael I. Jordan |
| 2001 | Coupled Clustering: a Method for Detecting Structural Correspondence. Zvika Marx, Ido Dagan, Joachim M. Buhmann |
| 2001 | Direct Policy Search using Paired Statistical Tests. Malcolm J. A. Strens, Andrew W. Moore |
| 2001 | Discovering Communicable Scientific Knowledge from Spatio-Temporal Data. Mark Schwabacher, Pat Langley |
| 2001 | Efficient algorithms for decision tree cross-validation. Hendrik Blockeel, Jan Struyf |
| 2001 | Estimating a Kernel Fisher Discriminant in the Presence of Label Noise. Neil D. Lawrence, Bernhard Schölkopf |
| 2001 | Evolutionary Search, Stochastic Policies with Memory, and Reinforcement Learning with Hidden State. Matthew R. Glickman, Katia P. Sycara |
| 2001 | Expectation Maximization for Weakly Labeled Data. Yuri A. Ivanov, Bruce Blumberg, Alex Pentland |
| 2001 | Exploration Control in Reinforcement Learning using Optimistic Model Selection. Jeremy L. Wyatt |
| 2001 | Feature Construction with Version Spaces for Biochemical Applications. Stefan Kramer, Luc De Raedt |
| 2001 | Feature selection for high-dimensional genomic microarray data. Eric P. Xing, Michael I. Jordan, Richard M. Karp |
| 2001 | Filters, Wrappers and a Boosting-Based Hybrid for Feature Selection. Sanmay Das |
| 2001 | Friend-or-Foe Q-learning in General-Sum Games. Michael L. Littman |
| 2001 | General Loss Bounds for Universal Sequence Prediction. Marcus Hutter |
| 2001 | Hypertext Categorization using Hyperlink Patterns and Meta Data. Rayid Ghani, Seán Slattery, Yiming Yang |
| 2001 | Improving Probabilistic Grammatical Inference Core Algorithms with Post-processing Techniques. Franck Thollard |
| 2001 | Incremental Maximization of Non-Instance-Averaging Utility Functions with Applications to Knowledge Discovery Problems. Tobias Scheffer, Stefan Wrobel |
| 2001 | Inducing Partially-Defined Instances with Evolutionary Algorithms. Xavier Llorà, Josep Maria Garrell i Guiu |
| 2001 | Latent Semantic Kernels. Nello Cristianini, John Shawe-Taylor, Huma Lodhi |
| 2001 | Learnability of Augmented Naive Bayes in Nonimal Domains. Huajie Zhang, Charles X. Ling |
| 2001 | Learning Embedded Maps of Markov Processes. Yaakov Engel, Shie Mannor |
| 2001 | Learning Probabilistic Models of Relational Structure. Lise Getoor, Nir Friedman, Daphne Koller, Benjamin Taskar |
| 2001 | Learning an Agent's Utility Function by Observing Behavior. Urszula Chajewska, Daphne Koller, Dirk Ormoneit |
| 2001 | Learning from Labeled and Unlabeled Data using Graph Mincuts. Avrim Blum, Shuchi Chawla |
| 2001 | Learning to Generate Fast Signal Processing Implementations. Bryan Singer, Manuela M. Veloso |
| 2001 | Learning to Select Good Title Words: An New Approach based on Reverse Information Retrieval. Rong Jin, Alexander G. Hauptmann |
| 2001 | Learning with the Set Covering Machine. Mario Marchand, John Shawe-Taylor |
| 2001 | Lyapunov-Constrained Action Sets for Reinforcement Learning. Theodore J. Perkins, Andrew G. Barto |
| 2001 | Mixtures of Rectangles: Interpretable Soft Clustering. Dan Pelleg, Andrew W. Moore |
| 2001 | Multiple Instance Regression. Soumya Ray, David Page |
| 2001 | Multiple-Instance Learning of Real-Valued Data. Robert A. Amar, Daniel R. Dooly, Sally A. Goldman, Qi Zhang |
| 2001 | Obtaining calibrated probability estimates from decision trees and naive Bayesian classifiers. Bianca Zadrozny, Charles Elkan |
| 2001 | Off-Policy Temporal Difference Learning with Function Approximation. Doina Precup, Richard S. Sutton, Sanjoy Dasgupta |
| 2001 | On No-Regret Learning, Fictitious Play, and Nash Equilibrium. Amir Jafari, Amy Greenwald, David Gondek, Gunes Ercal |
| 2001 | Pairwise Comparison of Hypotheses in Evolutionary Learning. Krzysztof Krawiec |
| 2001 | Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28 - July 1, 2001 Carla E. Brodley, Andrea Pohoreckyj Danyluk |
| 2001 | Reinforcement Learning in Dynamic Environments using Instantiated Information. Marco A. Wiering |
| 2001 | Reinforcement Learning with Bounded Risk. Peter Geibel |
| 2001 | Relevance Feedback using Support Vector Machines. Harris Drucker, Behzad Shahraray, David C. Gibbon |
| 2001 | Repairing Faulty Mixture Models using Density Estimation. Peter Sand, Andrew W. Moore |
| 2001 | Ridge Regression Confidence Machine. Ilia Nouretdinov, Thomas Melluish, Volodya Vovk |
| 2001 | Round Robin Rule Learning. Johannes Fürnkranz |
| 2001 | Scaling Reinforcement Learning toward RoboCup Soccer. Peter Stone, Richard S. Sutton |
| 2001 | Smoothed Bootstrap and Statistical Data Cloning for Classifier Evaluation. Gregory Shakhnarovich, Ran El-Yaniv, Yoram Baram |
| 2001 | Some Greedy Algorithms for Sparse Nonlinear Regression. Prasanth B. Nair, Arindam Choudhury, Andy J. Keane |
| 2001 | Some Sparse Approximation Bounds for Regression Problems. Tong Zhang |
| 2001 | Some Theoretical Aspects of Boosting in the Presence of Noisy Data. Wenxin Jiang |
| 2001 | Structured Prioritised Sweeping. Richard Dearden |
| 2001 | Symmetry in Markov Decision Processes and its Implications for Single Agent and Multiagent Learning. Martin Zinkevich, Tucker R. Balch |
| 2001 | Toward Optimal Active Learning through Sampling Estimation of Error Reduction. Nicholas Roy, Andrew McCallum |
| 2001 | Unsupervised Sequence Segmentation by a Mixture of Switching Variable Memory Markov Sources. Yevgeny Seldin, Gill Bejerano, Naftali Tishby |
| 2001 | Using EM to Learn 3D Models of Indoor Environments with Mobile Robots. Yufeng Liu, Rosemary Emery, Deepayan Chakrabarti, Wolfram Burgard, Sebastian Thrun |
| 2001 | Using the Genetic Algorithm to Reduce the Size of a Nearest-Neighbor Classifier and to Select Relevant Attributes. Antonin Rozsypal, Miroslav Kubat |
| 2001 | Visual Development and the Acquisition of Binocular Disparity Sensitivities. Melissa Dominguez, Robert A. Jacobs |
| 2001 | WBCsvm: Weighted Bayesian Classification based on Support Vector Machines. Thomas Gärtner, Peter A. Flach |