12. ICML 1995:
Tahoe City, California, USA Armand Prieditis , Stuart J. Russell (Eds.):
Machine Learning, Proceedings of the Twelfth International Conference on Machine Learning, Tahoe City, California, USA, July 9-12, 1995.
Morgan Kaufmann 1995, ISBN 1-55860-377-8 Contributed Papers
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Leemon C. Baird III :
Residual Algorithms: Reinforcement Learning with Function Approximation.
30-37
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Scott Benson :
Inductive Learning of Reactive Action Models.
47-54
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Avrim Blum :
Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain.
64-72
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Carla E. Brodley :
Automatic Selection of Split Criterion during Tree Growing Based on Node Location.
73-80
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James Cussens :
A Bayesian Analysis of Algorithms for Learning Finite Functions.
142-149
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Gerald DeJong :
A Case Study of Explanation-Based Control.
167-175
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Matthias Fuchs :
Learning Proof Heuristics by Adaptive Parameters.
235-243
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Ken Lang :
NewsWeeder: Learning to Filter Netnews.
331-339
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Kevin J. Lang :
Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza's.
340-343
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Nick Littlestone :
Comparing Several Linear-threshold Learning Algorithms on Tasks Involving Superfluous Attributes.
353-361
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David J. Lubinsky :
Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves.
371-377
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Andrew McCallum :
Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State.
387-395
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Partha Niyogi :
Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions.
405-412
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Jing Peng :
Efficient Memory-Based Dynamic Programming.
438-446
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Jürgen Schmidhuber :
Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability.
488-496
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Richard S. Sutton :
TD Models: Modeling the World at a Mixture of Time Scales.
531-539
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Xuemei Wang :
Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition.
549-557
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Gary M. Weiss :
Learning with Rare Cases and Small Disjuncts.
558-565
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Invited Talks
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W. Bruce Croft :
Machine Learning and Information Retrieval (Abstract).
587
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Dean Pomerleau :
Learning for Automotive Collision Avoidance and Autonomous Control.
589
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