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ORCID15th ICML 1998: Madison, Wisconsin, USA
- Jude W. Shavlik:
Proceedings of the Fifteenth International Conference on Machine Learning (ICML 1998), Madison, Wisconsin, USA, July 24-27, 1998. Morgan Kaufmann 1998, ISBN 1-55860-556-8 - Naoki Abe, Hiroshi Mamitsuka:
Query Learning Strategies Using Boosting and Bagging. ICML 1998: 1-9 - Ricardo Aler, Daniel Borrajo, Pedro Isasi:
Genetic Programming and Deductive-Inductive Learning: A Multi-Strategy Approach. ICML 1998: 10-18 - Cosimo Anglano, Attilio Giordana, Giuseppe Lo Bello, Lorenza Saitta:
An Experimental Evaluation of Coevolutive Concept Learning. ICML 1998: 19-27 - Jonathan Baxter, Andrew Tridgell, Lex Weaver:
KnightCap: A Chess Programm That Learns by Combining TD(lambda) with Game-Tree Search. ICML 1998: 28-36 - Stephen D. Bay:
Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets. ICML 1998: 37-45 - Daniel Billsus, Michael J. Pazzani:
Learning Collaborative Information Filters. ICML 1998: 46-54 - Hendrik Blockeel, Luc De Raedt, Jan Ramon:
Top-Down Induction of Clustering Trees. ICML 1998: 55-63 - Kurt D. Bollacker, Joydeep Ghosh:
A Supra-Classifier Architecture for Scalable Knowledge Reuse. ICML 1998: 64-72 - Blai Bonet, Hector Geffner:
Learning Sorting and Decision Trees with POMDPs. ICML 1998: 73-81 - Paul S. Bradley, Olvi L. Mangasarian:
Feature Selection via Concave Minimization and Support Vector Machines. ICML 1998: 82-90 - Paul S. Bradley, Usama M. Fayyad:
Refining Initial Points for K-Means Clustering. ICML 1998: 91-99 - Nicolò Cesa-Bianchi, Paul Fischer:
Finite-Time Regret Bounds for the Multiarmed Bandit Problem. ICML 1998: 100-108 - Nello Cristianini, John Shawe-Taylor, Peter Sykacek:
Bayesian Classifiers Are Large Margin Hyperplanes in a Hilbert Space. ICML 1998: 109-117 - Thomas G. Dietterich:
The MAXQ Method for Hierarchical Reinforcement Learning. ICML 1998: 118-126 - Pedro M. Domingos:
A Process-Oriented Heuristic for Model Selection. ICML 1998: 127-135 - Saso Dzeroski, Luc De Raedt, Hendrik Blockeel:
Relational Reinforcement Learning. ICML 1998: 136-143 - Eibe Frank, Ian H. Witten:
Generating Accurate Rule Sets Without Global Optimization. ICML 1998: 144-151 - Eibe Frank, Ian H. Witten:
Using a Permutation Test for Attribute Selection in Decision Trees. ICML 1998: 152-160 - Dayne Freitag:
Multistrategy Learning for Information Extraction. ICML 1998: 161-169 - Yoav Freund, Raj D. Iyer, Robert E. Schapire, Yoram Singer:
An Efficient Boosting Algorithm for Combining Preferences. ICML 1998: 170-178 - Nir Friedman, Moisés Goldszmidt, Thomas J. Lee:
Bayesian Network Classification with Continuous Attributes: Getting the Best of Both Discretization and Parametric Fitting. ICML 1998: 179-187 - Thilo-Thomas Frieß, Nello Cristianini, Colin Campbell:
The Kernel-Adatron Algorithm: A Fast and Simple Learning Procedure for Support Vector Machines. ICML 1998: 188-196 - Zoltán Gábor, Zsolt Kalmár, Csaba Szepesvári:
Multi-criteria Reinforcement Learning. ICML 1998: 197-205 - João Gama:
Local Cascade Generalization. ICML 1998: 206-214 - Frédérick Garçia, Seydina M. Ndiaye:
A Learning Rate Analysis of Reinforcement Learning Algorithms in Finite-Horizon. ICML 1998: 215-223 - Diana F. Gordon:
Well-Behaved Borgs, Bolos, and Berserkers. ICML 1998: 224-232 - Tom Heskes:
Solving a Huge Number of Similar Tasks: A Combination of Multi-Task Learning and a Hierarchical Bayesian Approach. ICML 1998: 233-241 - Junling Hu, Michael P. Wellman:
Multiagent Reinforcement Learning: Theoretical Framework and an Algorithm. ICML 1998: 242-250 - Hugues Juillé, Jordan B. Pollack:
Coevolutionary Learning: A Case Study. ICML 1998: 251-259 - Michael J. Kearns, Satinder Singh:
Near-Optimal Reinforcement Learning in Polynominal Time. ICML 1998: 260-268 - Michael J. Kearns, Yishay Mansour:
A Fast, Bottom-Up Decision Tree Pruning Algorithm with Near-Optimal Generalization. ICML 1998: 269-277 - Hajime Kimura, Shigenobu Kobayashi:
An Analysis of Actor/Critic Algorithms Using Eligibility Traces: Reinforcement Learning with Imperfect Value Function. ICML 1998: 278-286 - Daphne Koller, Raya Fratkina:
Using Learning for Approximation in Stochastic Processes. ICML 1998: 287-295 - Dekang Lin:
An Information-Theoretic Definition of Similarity. ICML 1998: 296-304 - Michel Liquiere, Jean Sallantin:
Structural Machine Learning with Galois Lattice and Graphs. ICML 1998: 305-313 - Michael L. Littman, Fan Jiang, Greg A. Keim:
Learning a Language-Independent Representation for Terms from a Partially Aligned Corpus. ICML 1998: 314-322 - John Loch, Satinder Singh:
Using Eligibility Traces to Find the Best Memoryless Policy in Partially Observable Markov Decision Processes. ICML 1998: 323-331 - Dimitris Margaritis, Sebastian Thrun:
Learning to Locate an Object in 3D Space from a Sequence of Camera Images. ICML 1998: 332-340 - Oded Maron, Aparna Lakshmi Ratan:
Multiple-Instance Learning for Natural Scene Classification. ICML 1998: 341-349 - Andrew Kachites McCallum, Kamal Nigam:
Employing EM and Pool-Based Active Learning for Text Classification. ICML 1998: 350-358 - Andrew McCallum, Ronald Rosenfeld, Tom M. Mitchell, Andrew Y. Ng:
Improving Text Classification by Shrinkage in a Hierarchy of Classes. ICML 1998: 359-367 - Thomas Leo McCluskey, Margaret Mary West:
A Case Study in the Use of Theory Revision in Requirements Validation. ICML 1998: 368-376 - Sanya Mitaim, Bart Kosko:
Stochastic Resonance with Adaptive Fuzzy Systems. ICML 1998: 377-385 - Andrew W. Moore, Jeff G. Schneider, Justin A. Boyan, Mary S. Lee:
Q2: Memory-Based Active Learning for Optimizing Noisy Continuous Functions. ICML 1998: 386-394 - Atsuyoshi Nakamura, Naoki Abe:
Collaborative Filtering Using Weighted Majority Prediction Algorithms. ICML 1998: 395-403 - Andrew Y. Ng:
On Feature Selection: Learning with Exponentially Many Irrelevant Features as Training Examples. ICML 1998: 404-412 - Richard Nock, Pascal Jappy:
On the Power of Decision Lists. ICML 1998: 413-420 - Mark D. Pendrith, Michael McGarity:
An Analysis of Direct Reinforcement Learning in Non-Markovian Domains. ICML 1998: 421-429 - Justus H. Piater, Paul R. Cohen, Xiaoqin Zhang, Michael Atighetchi:
A Randomized ANOVA Procedure for Comparing Performance Curves. ICML 1998: 430-438 - Doina Precup, Paul E. Utgoff:
Classification Using Phi-Machines and Constructive Function Approximation. ICML 1998: 439-444 - Foster J. Provost, Tom Fawcett, Ron Kohavi:
The Case against Accuracy Estimation for Comparing Induction Algorithms. ICML 1998: 445-453 - Sowmya Ramachandran, Raymond J. Mooney:
Theory Refinement of Bayesian Networks with Hidden Variables. ICML 1998: 454-462 - Jette Randløv, Preben Alstrøm:
Learning to Drive a Bicycle Using Reinforcement Learning and Shaping. ICML 1998: 463-471 - Chandra Reddy, Prasad Tadepalli:
Learning First-Order Acyclic Horn Programs from Entailment. ICML 1998: 472-480 - Malcolm R. K. Ryan, Mark D. Pendrith:
RL-TOPS: An Architecture for Modularity and Re-Use in Reinforcement Learning. ICML 1998: 481-487 - Rafal Salustowicz, Jürgen Schmidhuber:
Evolving Structured Programs with Hierarchical Instructions and Skip Nodes. ICML 1998: 488-496 - Ken Samuel, Sandra Carberry, K. Vijay-Shanker:
An Investigation of Transformation-Based Learning in Discourse. ICML 1998: 497-505 - Lawrence K. Saul:
Automatic Segmentation of Continuous Trajectories with Invariance to Nonlinear Warpings of Time. ICML 1998: 506-514 - Craig Saunders, Alexander Gammerman, Volodya Vovk:
Ridge Regression Learning Algorithm in Dual Variables. ICML 1998: 515-521 - Jeff G. Schneider, Justin A. Boyan, Andrew W. Moore:
Value Function Based Production Scheduling. ICML 1998: 522-530 - Hagit Shatkay, Leslie Pack Kaelbling:
Heading in the Right Direction. ICML 1998: 531-539 - W. Nick Street:
A Neural Network Model for Prognostic Prediction. ICML 1998: 540-546 - Joshua M. Stuart, Elizabeth Bradley:
Learning the Grammar of Dance. ICML 1998: 547-555 - Richard S. Sutton, Doina Precup, Satinder Singh:
Intra-Option Learning about Temporally Abstract Actions. ICML 1998: 556-564 - Gheorghe Tecuci, Harry Keeling:
Teaching an Agent to Test Students. ICML 1998: 565-573 - Gary M. Weiss, Haym Hirsh:
The Problem with Noise and Small Disjuncts. ICML 1998: 574-
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