7. ML 1990:
Austin, Texas, USA
Bruce W. Porter, Raymond J. Mooney (Eds.):
Machine Learning, Proceedings of the Seventh International Conference on Machine Learning, Austin, Texas, USA, June 21-23, 1990.
Morgan Kaufmann 1990, ISBN 1-55860-141-4 
Empirical Learning
Conceptual Clustering
Constructive Induction and Reformulation
Genetic Algorithms
Neural Network & Reinforcement Learning
Learning and Planning
Robot Learning
Explanation-Based Learning
- Henrik Boström:
Generalizing the Order of Goals as an Approach to Generalizing Number.
260-267
- William W. Cohen:
Learning Approximate Control Rules of High Utility.
268-276
- Nicholas S. Flann:
Applying Abstraction and Simplification to Learn in Intractable Domains.
277-285
- Jean Genest, Stan Matwin, Boris Plante:
Explanation-Based Learning with Incomplete Theories: A Three-step Approach.
286-294
- Yves Kodratoff:
Using Abductive Recovery of Failed Proofs for Problem Solving by Analogy.
295-303
- Steven Minton:
Issues in the Design of Operator Composition Systems.
304-312
- Ashwin Ram:
Incremental Learning of Explanation Patterns and Their Indices.
313-320
Explanation-Based and Empirical Learning
- Francesco Bergadano, Attilio Giordana, Lorenza Saitta, Davide De Marchi, Filippo Brancadori:
Integrated Learning in a real Domain.
322-329
- Haym Hirsh:
Incremental Version-Space Merging.
330-338
- Michael J. Pazzani, Wendy Sarrett:
Average Case Analysis of Conjunctive Learning Algorithms.
339-347
- Bernard Silver, William J. Frawley, Glenn A. Iba, John Vittal, Kelly Bradford:
A Framework for Multi-Paradigmatic Learning.
348-356
- Yihua Wu, Shulin Wang, Qing Zhou:
An Integrated Framework of Inducing Rules from Examples.
357-365
Language Learning
Other Topics
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