Machine Learning: An Artificial Intelligence Approach, Volume 2

Front Cover
Ryszard Stanisław Michalski, Jaime Guillermo Carbonell, Tom Michael Mitchell
Morgan Kaufmann, 1986 - Computers - 738 pages
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Contents

Challenges of
27
PART TWO LEARNING CONCEPTS AND RULES FROM
43
Learning to Predict Sequences
64
Shift of Bias for Inductive Concept Learning
107
The Effect of Noise on Concept Learning
149
Learning Concepts by Asking Questions
167
Improving the Generalization Step
215
PART THREE COGNITIVE ASPECTS OF LEARNING
245
Programming by Analogy
393
PART FIVE LEARNING BY OBSERVATION AND
423
Inventing
471
Program Synthesis as a Theory Formation
499
An Approach to Learning from Observation
571
PART SIX AN EXPLORATION OF GENERAL ASPECTS
591
Learning Control
647
Bibliography of Recent Machine Learning Research
671

The General
289
Toward
311
PART FOUR LEARNING BY ANALOGY
349
A Theory
371
Updated Glossary of Selected Terms in Machine Learning
707
About the Authors
715
Author Index
725
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