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
12. ICML 1995:
Tahoe City, California, USA
Leemon C. Baird III
: Residual Algorithms: Reinforcement Learning with Function Approximation.
: Inductive Learning of Reactive Action Models.
: Empirical Support for Winnow and Weighted-Majority Based Algorithms: Results on a Calendar Scheduling Domain.
Carla E. Brodley
: Automatic Selection of Split Criterion during Tree Growing Based on Node Location.
: A Bayesian Analysis of Algorithms for Learning Finite Functions.
: A Case Study of Explanation-Based Control.
: Learning Proof Heuristics by Adaptive Parameters.
: NewsWeeder: Learning to Filter Netnews.
Kevin J. Lang
: Hill Climbing Beats Genetic Search on a Boolean Circuit Synthesis Problem of Koza's.
: Comparing Several Linear-threshold Learning Algorithms on Tasks Involving Superfluous Attributes.
David J. Lubinsky
: Increasing the Performance and Consistency of Classification Trees by Using the Accuracy Criterion at the Leaves.
: Instance-Based Utile Distinctions for Reinforcement Learning with Hidden State.
: Free to Choose: Investigating the Sample Complexity of Active Learning of Real Valued Functions.
: Efficient Memory-Based Dynamic Programming.
: Discovering Solutions with Low Kolmogorov Complexity and High Generalization Capability.
Richard S. Sutton
: TD Models: Modeling the World at a Mixture of Time Scales.
: Learning by Observation and Practice: An Incremental Approach for Planning Operator Acquisition.
Gary M. Weiss
: Learning with Rare Cases and Small Disjuncts.
W. Bruce Croft
: Machine Learning and Information Retrieval (Abstract).
: Learning for Automotive Collision Avoidance and Autonomous Control.