Volume 5,
1990
- Thomas G. Dietterich:
Exploratory Research in Machine Learning.
5-9
- Derek H. Sleeman:
Extending Domain Theories: Two Case Studies in Student Modeling.
11-37
- Jude W. Shavlik:
Acquiring Recursive and Iterative Concepts with Explanation-Based Learning.
39-40
- Giulia Pagallo, David Haussler:
Boolean Feature Discovery in Empirical Learning.
71-99
- Haim Schweitzer:
A Necessary Condition for Learning from Positive Examples.
101-113
- Leonard Pitt:
Introduction: Special Issue on Computational Learning Theory.
117-120
- Dana Angluin:
Negative Results for Equivalence Queries.
121-150
- Hiroki Ishizaka:
Polynomial time Learnability of Simple Deterministic Languages.
151-164
- David P. Helmbold, Robert H. Sloan, Manfred K. Warmuth:
Learning Nested Differences of Intersection-Closed Concept Classes.
165-196
- Robert E. Schapire:
The Strength of Weak Learnability.
197-227
- Pat Langley:
Advice to Machine Learning Authors.
233-237
- J. Ross Quinlan:
Learning Logical Definitions from Relations.
239-266
- Larry A. Rendell, Howard Cho:
Empirical Learning as a Function of Concept Character.
267-298
- Milind Tambe, Allen Newell, Paul S. Rosenbloom:
The Problem of Expensive Chunks and its Solution by Restricting Expressiveness.
299-348
- John J. Grefenstette, Connie Loggia Ramsey, Alan C. Schultz:
Learning Sequential Decision Rules Using Simulation Models and Competition.
355-381
- Hayong Harry Zhou:
CSM: A Computational Model of Cumulative Learning.
383-406
- David E. Goldberg:
Probability Matching, the Magnitude of Reinforcement, and Classifier System Bidding.
407-425
- David J. Montana:
Empirical Learning Using Rule Threshold Optimization for Detection of Events in Synthetic Images.
427-450
Copyright © Tue Nov 10 00:56:39 2009
by Michael Ley (ley@uni-trier.de)
