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ORCID19th ICML 2002: Sydney, NSW, Australia
- Claude Sammut, Achim G. Hoffmann:
Machine Learning, Proceedings of the Nineteenth International Conference (ICML 2002), University of New South Wales, Sydney, Australia, July 8-12, 2002. Morgan Kaufmann 2002, ISBN 1-55860-873-7 - Douglas Aberdeen, Jonathan Baxter:
Scalable Internal-State Policy-Gradient Methods for POMDPs. ICML 2002: 3-10 - Érick Alphonse, Stan Matwin:
Feature Subset Selection and Inductive Logic Programming. ICML 2002: 11-18 - Valentina Bayer Zubek, Thomas G. Dietterich:
Pruning Improves Heuristic Search for Cost-Sensitive Learning. ICML 2002: 19-26 - Sugato Basu, Arindam Banerjee, Raymond J. Mooney:
Semi-supervised Clustering by Seeding. ICML 2002: 27-34 - Jacques Ales Bianchetti, Céline Rouveirol, Michèle Sebag:
Constraint-based Learning of Long Relational Concepts. ICML 2002: 35-42 - Joseph Bockhorst, Mark Craven:
Exploiting Relations Among Concepts to Acquire Weakly Labeled Training Data. ICML 2002: 43-50 - Blai Bonet:
An epsilon-Optimal Grid-Based Algorithm for Partially Observable Markov Decision Processes. ICML 2002: 51-58 - Björn Bringmann, Stefan Kramer, Friedrich Neubarth, Hannes Pirker, Gerhard Widmer:
Transformation-Based Regression. ICML 2002: 59-66 - Zheng Chen, Liu Wenyin, Feng Zhang:
A New Statistical Approach to Personal Name Extraction. ICML 2002: 67-74 - Michael Chisholm, Prasad Tadepalli:
Learning Decision Rules by Randomized Iterative Local Search. ICML 2002: 75-82 - Elisabeth Crawford, Judy Kay, Eric McCreath:
IEMS - The Intelligent Email Sorter. ICML 2002: 83-90 - Denver Dash, Gregory F. Cooper:
Exact model averaging with naive Bayesian classifiers. ICML 2002: 91-98 - Dennis DeCoste:
Anytime Interval-Valued Outputs for Kernel Machines: Fast Support Vector Machine Classification via Distance Geometry. ICML 2002: 99-106 - Thomas G. Dietterich, Dídac Busquets, Ramón López de Mántaras, Carles Sierra:
Action Refinement in Reinforcement Learning by Probability Smoothing. ICML 2002: 107-114 - Kurt Driessens, Saso Dzeroski:
Integrating Experimentation and Guidance in Relational Reinforcement Learning. ICML 2002: 115-122 - Saso Dzeroski, Bernard Zenko:
Is Combining Classifiers Better than Selecting the Best One. ICML 2002: 123-130 - Tapio Elomaa, Juho Rousu:
Fast Minimum Training Error Discretization. ICML 2002: 131-138 - César Ferri, Peter A. Flach, José Hernández-Orallo:
Learning Decision Trees Using the Area Under the ROC Curve. ICML 2002: 139-146 - Leigh J. Fitzgibbon, David L. Dowe, Lloyd Allison:
Univariate Polynomial Inference by Monte Carlo Message Length Approximation. ICML 2002: 147-154 - João Gama:
An Analysis of Functional Trees. ICML 2002: 155-162 - Dragan Gamberger, Nada Lavrac:
Descriptive Induction through Subgroup Discovery: A Case Study in a Medical Domain. ICML 2002: 163-170 - Ashutosh Garg, Sariel Har-Peled, Dan Roth:
On generalization bounds, projection profile, and margin distribution. ICML 2002: 171-178 - Thomas Gärtner, Peter A. Flach, Adam Kowalczyk, Alexander J. Smola:
Multi-Instance Kernels. ICML 2002: 179-186 - Rayid Ghani:
Combining Labeled and Unlabeled Data for MultiClass Text Categorization. ICML 2002: 187-194 - Mohammad Ghavamzadeh, Sridhar Mahadevan:
Hierarchically Optimal Average Reward Reinforcement Learning. ICML 2002: 195-202 - Amir Globerson, Naftali Tishby:
Sufficient Dimensionality Reduction - A novel Analysis Method. ICML 2002: 203-210 - Michael Goebel, Patricia J. Riddle, Mike Barley:
A Unified Decomposition of Ensemble Loss for Predicting Ensemble Performance. ICML 2002: 211-218 - Jesus A. Gonzalez, Lawrence B. Holder, Diane J. Cook:
Graph-Based Relational Concept Learning. ICML 2002: 219-226 - Carlos Guestrin, Michail G. Lagoudakis, Ronald Parr:
Coordinated Reinforcement Learning. ICML 2002: 227-234 - Carlos Guestrin, Relu Patrascu, Dale Schuurmans:
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs. ICML 2002: 235-242 - Bernhard Hengst:
Discovering Hierarchy in Reinforcement Learning with HEXQ. ICML 2002: 243-250 - Colin K. M. Ho:
Classification Value Grouping. ICML 2002: 251-258 - David D. Jensen, Jennifer Neville:
Linkage and Autocorrelation Cause Feature Selection Bias in Relational Learning. ICML 2002: 259-266 - Sham M. Kakade, John Langford:
Approximately Optimal Approximate Reinforcement Learning. ICML 2002: 267-274 - Sham M. Kakade, Yee Whye Teh, Sam T. Roweis:
An Alternate Objective Function for Markovian Fields. ICML 2002: 275-282 - Sepandar D. Kamvar, Dan Klein, Christopher D. Manning:
Interpreting and Extending Classical Agglomerative Clustering Algorithms using a Model-Based approach. ICML 2002: 283-290 - Hisashi Kashima, Teruo Koyanagi:
Kernels for Semi-Structured Data. ICML 2002: 291-298 - S. Sathiya Keerthi, Kaibo Duan, Shirish K. Shevade, Aun Neow Poo:
A Fast Dual Algorithm for Kernel Logistic Regression. ICML 2002: 299-306 - Dan Klein, Sepandar D. Kamvar, Christopher D. Manning:
From Instance-level Constraints to Space-Level Constraints: Making the Most of Prior Knowledge in Data Clustering. ICML 2002: 307-314 - Risi Kondor, John D. Lafferty:
Diffusion Kernels on Graphs and Other Discrete Input Spaces. ICML 2002: 315-322 - Gert R. G. Lanckriet, Nello Cristianini, Peter L. Bartlett, Laurent El Ghaoui, Michael I. Jordan:
Learning the Kernel Matrix with Semi-Definite Programming. ICML 2002: 323-330 - John Langford:
Combining Trainig Set and Test Set Bounds. ICML 2002: 331-338 - John Langford, Martin Zinkevich, Sham M. Kakade:
Competitive Analysis of the Explore/Exploit Tradeoff. ICML 2002: 339-346 - Pat Langley, Javier Nicolás Sánchez, Ljupco Todorovski, Saso Dzeroski:
Inducing Process Models from Continuous Data. ICML 2002: 347-354 - Adam Laud, Gerald DeJong:
Reinforcement Learning and Shaping: Encouraging Intended Behaviors. ICML 2002: 355-362 - Guy Lebanon, John D. Lafferty:
Cranking: Combining Rankings Using Conditional Probability Models on Permutations. ICML 2002: 363-370 - Christopher Leckie, Kotagiri Ramamohanarao:
Learning to Share Distributed Probabilistic Beliefs. ICML 2002: 371-378 - Yaoyong Li, Hugo Zaragoza, Ralf Herbrich, John Shawe-Taylor, Jaz S. Kandola:
The Perceptron Algorithm with Uneven Margins. ICML 2002: 379-386 - Bing Liu, Wee Sun Lee, Philip S. Yu, Xiaoli Li:
Partially Supervised Classification of Text Documents. ICML 2002: 387-394 - Huan Liu, Hiroshi Motoda, Lei Yu:
Feature Selection with Selective Sampling. ICML 2002: 395-402 - Fletcher Lu, Relu Patrascu, Dale Schuurmans:
Investigating the Maximum Likelihood Alternative to TD(lambda). ICML 2002: 403-410 - Artur Merke, Ralf Schoknecht:
A Necessary Condition of Convergence for Reinforcement Learning with Function Approximation. ICML 2002: 411-418 - Carsten Meyer, Peter Beyerlein:
Towards "Large Margin" Speech Recognizers by Boosting and Discriminative Training. ICML 2002: 419-426 - Dunja Mladenic:
Learning word normalization using word suffix and context from unlabeled data. ICML 2002: 427-434 - Ion Muslea, Steven Minton, Craig A. Knoblock:
Active + Semi-supervised Learning = Robust Multi-View Learning. ICML 2002: 435-442 - Ion Muslea, Steven Minton, Craig A. Knoblock:
Adaptive View Validation: A First Step Towards Automatic View Detection. ICML 2002: 443-450 - Jangmin O, Jae Won Lee, Byoung-Tak Zhang:
Stock Trading System Using Reinforcement Learning with Cooperative Agents. ICML 2002: 451-458 - Tim Oates, Devina Desai, Vinay Bhat:
Learning k-Reversible Context-Free Grammars from Positive Structural Examples. ICML 2002: 459-465 - Nuria Oliver, Ashutosh Garg:
MMIHMM: Maximum Mutual Information Hidden Markov Models. ICML 2002: 466-473 - Anand Panangadan, Michael G. Dyer:
Learning Spatial and Temporal Correlation for Navigation in a 2-Dimensional Continuous World. ICML 2002: 474-481 - Seong-Bae Park, Byoung-Tak Zhang:
A Boosted Maximum Entropy Model for Learning Text Chunking. ICML 2002: 482-489 - Theodore J. Perkins, Mark D. Pendrith:
On the Existence of Fixed Points for Q-Learning and Sarsa in Partially Observable Domains. ICML 2002: 490-497 - Leonid Peshkin, Christian R. Shelton:
Learning from Scarce Experience. ICML 2002: 498-505 - Marc Pickett, Andrew G. Barto:
PolicyBlocks: An Algorithm for Creating Useful Macro-Actions in Reinforcement Learning. ICML 2002: 506-513 - Bhavani Raskutti, Herman L. Ferrá, Adam Kowalczyk:
Using Unlabelled Data for Text Classification through Addition of Cluster Parameters. ICML 2002: 514-521 - Malcolm R. K. Ryan:
Using Abstract Models of Behaviours to Automatically Generate Reinforcement Learning Hierarchies. ICML 2002: 522-529 - Craig Saunders, Hauke Tschach, John Shawe-Taylor:
Syllables and other String Kernel Extensions. ICML 2002: 530-537 - Robert E. Schapire, Marie Rochery, Mazin G. Rahim, Narendra K. Gupta:
Incorporating Prior Knowledge into Boosting. ICML 2002: 538-545 - Robert E. Schapire, Peter Stone, David A. McAllester, Michael L. Littman, János A. Csirik:
Modeling Auction Price Uncertainty Using Boosting-based Conditional Density Estimation. ICML 2002: 546-553 - Alexander K. Seewald:
How to Make Stacking Better and Faster While Also Taking Care of an Unknown Weakness. ICML 2002: 554-561 - Sandeep Seri, Prasad Tadepalli:
Model-based Hierarchical Average-reward Reinforcement Learning. ICML 2002: 562-569 - Daniel G. Shapiro, Pat Langley:
Separating Skills from Preference: Using Learning to Program by Reward. ICML 2002: 570-577 - Noam Slonim, Gill Bejerano, Shai Fine, Naftali Tishby:
Discriminative Feature Selection via Multiclass Variable Memory Markov Model. ICML 2002: 578-585 - David Stirling:
Learning to Fly by Controlling Dynamic Instabilities. ICML 2002: 586-593 - David J. Stracuzzi, Paul E. Utgoff:
Randomized Variable Elimination. ICML 2002: 594-601 - Malcolm J. A. Strens, Mark Bernhardt, Nicholas Everett:
Markov Chain Monte Carlo Sampling using Direct Search Optimization. ICML 2002: 602-609 - Dorian Suc, Ivan Bratko:
Qualitative reverse engineering. ICML 2002: 610-617 - Fumio Takechi, Einoshin Suzuki:
Finding an Optimal Gain-Ratio Subset-Split Test for a Set-Valued Attribute in Decision Tree Induction. ICML 2002: 618-625 - Loo-Nin Teow, Haifeng Liu, Hwee Tou Ng, Eric Yap:
Refining the Wrapper Approach - Smoothed Error Estimates for Feature Selection. ICML 2002: 626-633 - Shien-Shin Tham, Arnaud Doucet, Kotagiri Ramamohanarao:
Sparse Bayesian Learning for Regression and Classification using Markov Chain Monte Carlo. ICML 2002: 634-641 - Kai Ming Ting:
Issues in Classifier Evaluation using Optimal Cost Curves. ICML 2002: 642-649 - Yong Wang, Ian H. Witten:
Modeling for Optimal Probability Prediction. ICML 2002: 650-657 - Xindong Wu, Chengqi Zhang, Shichao Zhang:
Mining Both Positive and Negative Association Rules. ICML 2002: 658-665 - Ying Yang, Geoffrey I. Webb:
Non-Disjoint Discretization for Naive-Bayes Classifiers. ICML 2002: 666-673 - Huajie Zhang, Charles X. Ling:
Representational Upper Bounds of Bayesian Networks. ICML 2002: 674-681 - Qi Zhang, Sally A. Goldman, Wei Yu, Jason E. Fritts:
Content-Based Image Retrieval Using Multiple-Instance Learning. ICML 2002: 682-689 - Tong Zhang:
Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond. ICML 2002: 690-700
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