| 2000 | "Boosting'' a Positive-Data-Only Learner. Andrew R. Mitchell |
| 2000 | A Bayesian Approach to Temporal Data Clustering using Hidden Markov Models. Cen Li, Gautam Biswas |
| 2000 | A Bayesian Framework for Reinforcement Learning. Malcolm J. A. Strens |
| 2000 | A Boosting Approach to Topic Spotting on Subdialogues. Kary L. Myers, Michael J. Kearns, Satinder Singh, Marilyn A. Walker |
| 2000 | A Column Generation Algorithm For Boosting. Kristin P. Bennett, Ayhan Demiriz, John Shawe-Taylor |
| 2000 | A Comparative Study of Cost-Sensitive Boosting Algorithms. Kai Ming Ting |
| 2000 | A Divide and Conquer Approach to Learning from Prior Knowledge. Eric Chown, Thomas G. Dietterich |
| 2000 | A Dynamic Adaptation of AD-trees for Efficient Machine Learning on Large Data Sets. Paul Komarek, Andrew W. Moore |
| 2000 | A Nonparametric Approach to Noisy and Costly Optimization. Brigham S. Anderson, Andrew W. Moore, David Cohn |
| 2000 | A Normative Examination of Ensemble Learning Algorithms. David M. Pennock, Pedrito Maynard-Reid II, C. Lee Giles, Eric Horvitz |
| 2000 | A Quantification of Distance Bias Between Evaluation Metrics In Classification. Ricardo Vilalta, Daniel Oblinger |
| 2000 | A Unifeid Bias-Variance Decomposition and its Applications. Pedro M. Domingos |
| 2000 | A Universal Generalization for Temporal-Difference Learning Using Haar Basis Functions. Susumu Katayama, Hajime Kimura, Shigenobu Kobayashi |
| 2000 | Achieving Efficient and Cognitively Plausible Learning in Backgammon. Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett |
| 2000 | Acquisition of Stand-up Behavior by a Real Robot using Hierarchical Reinforcement Learning. Jun Morimoto, Kenji Doya |
| 2000 | Adaptive Resolution Model-Free Reinforcement Learning: Decision Boundary Partitioning. Stuart I. Reynolds |
| 2000 | Algorithm Selection using Reinforcement Learning. Michail G. Lagoudakis, Michael L. Littman |
| 2000 | Algorithms for Inverse Reinforcement Learning. Andrew Y. Ng, Stuart Russell |
| 2000 | An Adaptive Regularization Criterion for Supervised Learning. Dale Schuurmans, Finnegan Southey |
| 2000 | An Algorithm for Distributed Reinforcement Learning in Cooperative Multi-Agent Systems. Martin Lauer, Martin A. Riedmiller |
| 2000 | An Approach to Data Reduction and Clustering with Theoretical Guarantees. Partha Niyogi, Narendra Karmarkar |
| 2000 | An Evolutionary Approach to Evidence-Based Learning of Deterministic Finite Automata. Stefan Veeser |
| 2000 | An Initial Study of an Adaptive Hierarchical Vision System. Marcus A. Maloof |
| 2000 | An Integrated Connectionist Approach to Reinforcement Learning for Robotic Control. Dean F. Hougen, Maria L. Gini, James R. Slagle |
| 2000 | Analyzing Relational Learning in the Phase Transition Framework. Attilio Giordana, Lorenza Saitta, Michèle Sebag, Marco Botta |
| 2000 | Anomaly Detection over Noisy Data using Learned Probability Distributions. Eleazar Eskin |
| 2000 | Approximate Dimension Equalization in Vector-based Information Retrieval. Fan Jiang, Michael L. Littman |
| 2000 | Automatic Identification of Mathematical Concepts. Simon Colton, Alan Bundy, Toby Walsh |
| 2000 | Automatically Extracting Features for Concept Learning from the Web. William W. Cohen |
| 2000 | Bayesian Averaging of Classifiers and the Overfitting Problem. Pedro M. Domingos |
| 2000 | Behavioral Cloning of Student Pilots with Modular Neural Networks. Charles W. Anderson, Bruce A. Draper, David A. Peterson |
| 2000 | Bootstrap Methods for the Cost-Sensitive Evaluation of Classifiers. Dragos D. Margineantu, Thomas G. Dietterich |
| 2000 | Bootstrapping Syntax and Recursion using Alginment-Based Learning. Menno van Zaanen |
| 2000 | Bounds on the Generalization Performance of Kernel Machine Ensembles. Theodoros Evgeniou, Luis Pérez-Breva, Massimiliano Pontil, Tomaso A. Poggio |
| 2000 | Challenges of the Email Domain for Text Classification. Jake D. Brutlag, Christopher Meek |
| 2000 | Characterizing Model Erros and Differences. Stephen D. Bay, Michael J. Pazzani |
| 2000 | Classification of Individuals with Complex Structure. Antony Francis Bowers, Christophe G. Giraud-Carrier, John W. Lloyd |
| 2000 | Classification with Multiple Latent Variable Models using Maximum Entropy Discrimination. Machiel Westerdijk, Wim Wiegerinck |
| 2000 | Clustering the Users of Large Web Sites into Communities. Georgios Paliouras, Christos Papatheodorou, Vangelis Karkaletsis, Constantine D. Spyropoulos |
| 2000 | Clustering with Instance-level Constraints. Kiri Wagstaff, Claire Cardie |
| 2000 | Combining Multiple Learning Strategies for Effective Cross Validation. Yiming Yang, Tom Ault, Thomas Pierce |
| 2000 | Combining Multiple Perspectives. Bikramjit Banerjee, Sandip Debnath, Sandip Sen |
| 2000 | Combining Reinforcement Learning with a Local Control Algorithm. Jette Randløv, Andrew G. Barto, Michael T. Rosenstein |
| 2000 | Comparing the Minimum Description Length Principle and Boosting in the Automatic Analysis of Discourse. Tadashi Nomoto, Yuji Matsumoto |
| 2000 | Complete Cross-Validation for Nearest Neighbor Classifiers. Matthew D. Mullin, Rahul Sukthankar |
| 2000 | Constructive Feature Learning and the Development of Visual Expertise. Justus H. Piater, Roderic A. Grupen |
| 2000 | Convergence Problems of General-Sum Multiagent Reinforcement Learning. Michael H. Bowling |
| 2000 | Correlation-based Feature Selection for Discrete and Numeric Class Machine Learning. Mark A. Hall |
| 2000 | Crafting Papers on Machine Learning. Pat Langley |
| 2000 | Data Reduction Techniques for Instance-Based Learning from Human/Computer Interface Data. Terran Lane, Carla E. Brodley |
| 2000 | Data as Ensembles of Records: Representation and Comparison. Nicholas R. Howe |
| 2000 | Detecting Concept Drift with Support Vector Machines. Ralf Klinkenberg, Thorsten Joachims |
| 2000 | Dimension Reduction Techniques for Training Polynomial Networks. William M. Campbell, Kari Torkkola, Sreeream V. Balakrishnan |
| 2000 | Direct Bayes Point Machines. Matthias Rychetsky, John Shawe-Taylor, Manfred Glesner |
| 2000 | Disciple-COA: From Agent Programming to Agent Teaching. Mihai Boicu, Gheorghe Tecuci, Dorin Marcu, Michael Bowman, Ping Shyr, Florin Ciucu, Cristian Levcovici |
| 2000 | Discovering Homogeneous Regions in Spatial Data through Competition. Slobodan Vucetic, Zoran Obradovic |
| 2000 | Discovering Test Set Regularities in Relational Domains. Seán Slattery, Tom M. Mitchell |
| 2000 | Discovering the Structure of Partial Differential Equations from Example Behaviour. Ljupco Todorovski, Saso Dzeroski, Ashwin Srinivasan, Jonathan P. Whiteley, David Gavaghan |
| 2000 | Discriminative Reranking for Natural Language Parsing. Michael Collins |
| 2000 | Duality and Geometry in SVM Classifiers. Kristin P. Bennett, Erin J. Bredensteiner |
| 2000 | Efficient Learning Through Evolution: Neural Programming and Internal Reinforcement. Astro Teller, Manuela M. Veloso |
| 2000 | Efficient Mining from Large Databases by Query Learning. Hiroshi Mamitsuka, Naoki Abe |
| 2000 | Eligibility Traces for Off-Policy Policy Evaluation. Doina Precup, Richard S. Sutton, Satinder Singh |
| 2000 | Empirical Bayes for Learning to Learn. Tom Heskes |
| 2000 | Enhancing Supervised Learning with Unlabeled Data. Sally A. Goldman, Yan Zhou |
| 2000 | Enhancing the Plausibility of Law Equation Discovery. Takashi Washio, Hiroshi Motoda, Yuji Niwa |
| 2000 | Estimating the Generalization Performance of an SVM Efficiently. Thorsten Joachims |
| 2000 | Experimental Results on Q-Learning for General-Sum Stochastic Games. Junling Hu, Michael P. Wellman |
| 2000 | Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria. Chris Drummond, Robert C. Holte |
| 2000 | Feature Selection and Incremental Learning of Probabilistic Concept Hierarchies. Luis Talavera |
| 2000 | Feature Subset Selection and Order Identification for Unsupervised Learning. Jennifer G. Dy, Carla E. Brodley |
| 2000 | FeatureBoost: A Meta-Learning Algorithm that Improves Model Robustness. Joseph O'Sullivan, John Langford, Rich Caruana, Avrim Blum |
| 2000 | Finding Variational Structure in Data by Cross-Entropy Optimization. Matthew Brand |
| 2000 | Fixed Points of Approximate Value Iteration and Temporal-Difference Learning. Daniela Pucci de Farias, Benjamin Van Roy |
| 2000 | Generalized Average-Case Analyses of the Nearest Neighbor Algorithm. Seishi Okamoto, Nobuhiro Yugami |
| 2000 | Hidden Strengths and Limitations: An Empirical Investigation of Reinforcement Learning. Gerald DeJong |
| 2000 | Hierarchical Unsupervised Learning. Shivakumar Vaithyanathan, Byron Dom |
| 2000 | Ideal Theory Refinement under Object Identity. Floriana Esposito, Nicola Fanizzi, Stefano Ferilli, Giovanni Semeraro |
| 2000 | Image Color Constancy Using EM and Cached Statistics. Charles R. Rosenberg |
| 2000 | Improving Short-Text Classification using Unlabeled Data for Classification Problems. Sarah Zelikovitz, Haym Hirsh |
| 2000 | Incremental Learning in SwiftFile. Richard B. Segal, Jeffrey O. Kephart |
| 2000 | Induction of Concept Hierarchies from Noisy Data. Blaz Zupan, Ivan Bratko, Marko Bohanec, Janez Demsar |
| 2000 | Instance Pruning as an Information Preserving Problem. Marc Sebban, Richard Nock |
| 2000 | Knowledge Propagation in Model-based Reinforcement Learning Tasks. Corinna Richter, Jörg Stachowiak |
| 2000 | Knowledge Representation Issues in Control Knowledge Learning. Ricardo Aler, Daniel Borrajo, Pedro Isasi |
| 2000 | Learning Bayesian Networks for Diverse and Varying numbers of Evidence Sets. Zu Whan Kim, Ramakant Nevatia |
| 2000 | Learning Chomsky-like Grammars for Biological Sequence Families. Stephen H. Muggleton, Christopher H. Bryant, Ashwin Srinivasan |
| 2000 | Learning Curved Multinomial Subfamilies for Natural Language Processing and Information Retrieval. Keith B. Hall, Thomas Hofmann |
| 2000 | Learning Declarative Control Rules for Constraint-BAsed Planning. Yi-Cheng Huang, Bart Selman, Henry A. Kautz |
| 2000 | Learning Distributed Representations by Mapping Concepts and Relations into a Linear Space. Alberto Paccanaro, Geoffrey E. Hinton |
| 2000 | Learning Filaments. Geoffrey J. Gordon, Andrew W. Moore |
| 2000 | Learning Horn Expressions with LogAn-H. Roni Khardon |
| 2000 | Learning Multiple Models for Reward Maximization. Dani Goldberg, Maja J. Mataric |
| 2000 | Learning Priorities From Noisy Examples. Geoffrey G. Towell, Thomas Petsche, Michael R. Miller |
| 2000 | Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots. Daniel Nikovski, Illah R. Nourbakhsh |
| 2000 | Learning Subjective Functions with Large Margins. Claude-Nicolas Fiechter, Seth Rogers |
| 2000 | Learning in Non-stationary Conditions: A Control Theoretic Approach. Jefferson A. Coelho Jr., Roderic A. Grupen |
| 2000 | Learning to Create Customized Authority Lists. Huan Chang, David Cohn, Andrew McCallum |
| 2000 | Learning to Fly: An Application of Hierarchical Reinforcement Learning. Malcolm Ryan, Mark D. Reid |
| 2000 | Learning to Predict Performance from Formula Modeling and Training Data. Bryan Singer, Manuela M. Veloso |
| 2000 | Learning to Probabilistically Identify Authoritative Documents. David Cohn, Huan Chang |
| 2000 | Learning to Select Text Databases with Neural Nets. Yong S. Choi, Suk I. Yoo |
| 2000 | Less is More: Active Learning with Support Vector Machines. Greg Schohn, David Cohn |
| 2000 | Lightweight Rule Induction. Sholom M. Weiss, Nitin Indurkhya |
| 2000 | Linear Discriminant Trees. Olcay Taner Yildiz, Ethem Alpaydin |
| 2000 | Local Expert Autoassociators for Anomaly Detection. Geoffrey G. Towell |
| 2000 | Localizing Policy Gradient Estimates to Action Transition. Gregory Z. Grudic, Lyle H. Ungar |
| 2000 | Locally Weighted Projection Regression: Incremental Real Time Learning in High Dimensional Space. Sethu Vijayakumar, Stefan Schaal |
| 2000 | Machine Learning for Subproblem Selection. Robert Moll, Theodore J. Perkins, Andrew G. Barto |
| 2000 | Maximum Entropy Markov Models for Information Extraction and Segmentation. Andrew McCallum, Dayne Freitag, Fernando C. N. Pereira |
| 2000 | Meta-Learning by Landmarking Various Learning Algorithms. Bernhard Pfahringer, Hilan Bensusan, Christophe G. Giraud-Carrier |
| 2000 | Meta-Learning for Phonemic Annotation of Corpora. Véronique Hoste, Walter Daelemans, Erik F. Tjong Kim Sang, Steven Gillis |
| 2000 | Mixtures of Factor Analyzers. Geoffrey J. McLachlan, David Peel |
| 2000 | Model Selection Criteria for Learning Belief Nets: An Empirical Comparison. Tim Van Allen, Russell Greiner |
| 2000 | Multi-Agent Reinforcement Leraning for Traffic Light Control. Marco A. Wiering |
| 2000 | Multi-agent Q-learning and Regression Trees for Automated Pricing Decisions. Manu Sridharan, Gerald Tesauro |
| 2000 | MultiStage Cascading of Multiple Classifiers: One Man's Noise is Another Man's Data. Cenk Kaynak, Ethem Alpaydin |
| 2000 | Mutual Information in Learning Feature Transformations. Kari Torkkola, William M. Campbell |
| 2000 | Obtaining Simplified Rule Bases by Hybrid Learning. Ricardo Bezerra de Andrade e Silva, Teresa Bernarda Ludermir |
| 2000 | On-line Learning for Humanoid Robot Systems. Jörg Conradt, Gaurav Tevatia, Sethu Vijayakumar, Stefan Schaal |
| 2000 | Online Ensemble Learning: An Empirical Study. Alan Fern, Robert Givan |
| 2000 | Partial Linear Trees. Luís Torgo |
| 2000 | Practical Reinforcement Learning in Continuous Spaces. William D. Smart, Leslie Pack Kaelbling |
| 2000 | Predicting the Generalization Performance of Cross Validatory Model Selection Criteria. Tobias Scheffer |
| 2000 | Probabilistic DFA Inference using Kullback-Leibler Divergence and Minimality. Franck Thollard, Pierre Dupont, Colin de la Higuera |
| 2000 | Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29 - July 2, 2000 Pat Langley |
| 2000 | Pseudo-convergent Q-Learning by Competitive Pricebots. Jeffrey O. Kephart, Gerald Tesauro |
| 2000 | Query Learning with Large Margin Classifiers. Colin Campbell, Nello Cristianini, Alexander J. Smola |
| 2000 | Rates of Convergence for Variable Resolution Schemes in Optimal Control. Rémi Munos, Andrew W. Moore |
| 2000 | Reducing Multiclass to Binary: A Unifying Approach for Margin Classifiers. Erin L. Allwein, Robert E. Schapire, Yoram Singer |
| 2000 | Reinforcement Learning in POMDP's via Direct Gradient Ascent. Jonathan Baxter, Peter L. Bartlett |
| 2000 | Relative Loss Bounds for Temporal-Difference Learning. Jürgen Forster, Manfred K. Warmuth |
| 2000 | Selection of Support Vector Kernel Parameters for Improved Generalization. Loo-Nin Teow, Kia-Fock Loe |
| 2000 | Selective Voting for Perception-like Online Learning. Yi Li |
| 2000 | Shaping in Reinforcement Learning by Changing the Physics of the Problem. Jette Randløv |
| 2000 | Solving the Multiple-Instance Problem: A Lazy Learning Approach. Jun Wang, Jean-Daniel Zucker |
| 2000 | Sparse Greedy Matrix Approximation for Machine Learning. Alexander J. Smola, Bernhard Schölkopf |
| 2000 | State-based Classification of Finger Gestures from Electromyographic Signals. Peter Ju, Leslie Pack Kaelbling, Yoram Singer |
| 2000 | Support Vector Machine Active Learning with Application sto Text Classification. Simon Tong, Daphne Koller |
| 2000 | TPOT-RL Applied to Network Routing. Peter Stone |
| 2000 | The Effect of the Input Density Distribution on Kernel-based Classifiers. Christopher K. I. Williams, Matthias W. Seeger |
| 2000 | The Space of Jumping Emerging Patterns and Its Incremental Maintenance Algorithms. Jinyan Li, Kotagiri Ramamohanarao, Guozhu Dong |
| 2000 | Unpacking Multi-valued Symbolic Features and Classes in Memory-Based Language Learning. Antal van den Bosch, Jakub Zavrel |
| 2000 | Using Error-Correcting Codes for Text Classification. Rayid Ghani |
| 2000 | Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. Thomas R. Shultz, François Rivest |
| 2000 | Using Learning by Discovery to Segment Remotely Sensed Images. Leen-Kiat Soh, Costas Tsatsoulis |
| 2000 | Using Multiple Levels of Learning and Diverse Evidence to Uncover Coordinately Controlled Genes. Mark W. Craven, David Page, Jude W. Shavlik, Joseph Bockhorst, Jeremy D. Glasner |
| 2000 | Using Natural Language Processing and discourse Features to Identify Understanding Errors. Marilyn A. Walker, Jeremy H. Wright, Irene Langkilde |
| 2000 | Version Space Algebra and its Application to Programming by Demonstration. Tessa A. Lau, Pedro M. Domingos, Daniel S. Weld |
| 2000 | Voting Nearest-Neighbor Subclassifiers. Miroslav Kubat, Martin Cooperson Jr. |
| 2000 | Why Discretization Works for Naive Bayesian Classifiers. Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong |
| 2000 | X-means: Extending K-means with Efficient Estimation of the Number of Clusters. Dan Pelleg, Andrew W. Moore |