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Publication search results
found 88 matches
- 2002
- 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 - 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
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