Volume 40,
Numbers 1-3,
September 1989
- Jaime G. Carbonell:
Introduction: Paradigms for Machine Learning.
1-9
- John H. Gennari, Pat Langley, Douglas H. Fisher:
Models of Incremental Concept Formation.
11-61
- Steven Minton, Jaime G. Carbonell, Craig A. Knoblock, Daniel Kuokka, Oren Etzioni, Yolanda Gil:
Explanation-Based Learning: A Problem Solving Perspective.
63-118
- Jack Mostow:
Design by Derivational Analogy: Issues in the Automated Replay of Design Plans.
119-184
- Geoffrey E. Hinton:
Connectionist Learning Procedures.
185-234
- Lashon B. Booker, David E. Goldberg, John H. Holland:
Classifier Systems and Genetic Algorithms.
235-282
- Pat Langley, Jan M. Zytkow:
Data-Driven Approaches to Empirical Discovery.
283-312
- John R. Anderson:
A Theory of the Origins of Human Knowledge.
313-351
- Roger C. Schank, David B. Leake:
Creativity and Learning in a Case-Based Explainer.
353-385
Copyright © Tue Dec 1 16:28:04 2009
by Michael Ley (ley@uni-trier.de)
