دانلود کتاب Machine Learning. An Artificial Intelligence Approach, Volume III

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Content:
Front Matter, Page iii
Copyright, Page iv
PREFACE, Pages ix-x
1 - RESEARCH IN MACHINE LEARNING: Recent Progress, Classification of Methods, and Future Directions, Pages 3-30
2 - EXPLANATIONS, MACHINE LEARNING, AND CREATIVITY, Pages 31-48
COMMENTARY, Pages 49-59
3 - LEARNING FLEXIBLE CONCEPTS: Fundamental Ideas and a Method Based on Two-Tiered Representation, Pages 63-102
COMMENTARY, Pages 103-111
4 - PROTOS: AN EXEMPLAR-BASED LEARNING APPRENTICE, Pages 112-127
COMMENTARY, Pages 128-139
5 - PROBABILISTIC DECISION TREES, Pages 140-152
6 - INTEGRATING QUANTITATIVE AND QUALITATIVE DISCOVERY IN THE ABACUS SYSTEM, Pages 153-190
7 - LEARNING BY EXPERIMENTATION: THE OPERATOR REFINEMENT METHOD, Pages 191-213
8 - LEARNING FAULT DIAGNOSIS HEURISTICS FROM DEVICE DESCRIPTIONS, Pages 214-234
9 - CONCEPTUAL CLUSTERING AND CATEGORIZATION: Bridging the Gap between Induction and Causal Models, Pages 235-268
10 - LEAP: A LEARNING APPRENTICE FOR VLSI DESIGN, Pages 271-289
COMMENTARY, Pages 290-301
11 - ACQUIRING GENERAL ITERATIVE CONCEPTS BY REFORMULATING EXPLANATIONS OF OBSERVED EXAMPLES, Pages 302-350
12 - DISCOVERING ALGORITHMS FROM WEAK METHODS, Pages 351-359
13 - OGUST: A SYSTEM THAT LEARNS USING DOMAIN PROPERTIES EXPRESSED AS THEOREMS, Pages 360-382
14 - CONDITIONAL OPERATIONALITY AND EXPLANATION-BASED GENERALIZATION, Pages 383-395
15 - THE UTILITY OF SIMILARITY-BASED LEARNING IN A WORLD NEEDING EXPLANATION, Pages 399-422
COMMENTARY: SOME ISSUES IN CONCEPT LEARNING, Pages 423-432
16 - LEARNING EXPERT KNOWLEDGE BY IMPROVING THE EXPLANATIONS PROVIDED BY THE SYSTEM, Pages 433-465
COMMENTARY, Pages 466-473
17 - GUIDING INDUCTION WITH DOMAIN THEORIES, Pages 474-492
18 - KNOWLEDGE BASE REFINEMENT AS IMPROVING AN INCORRECT AND INCOMPLETE DOMAIN THEORY, Pages 493-513
19 - APPRENTICESHIP LEARNING IN IMPERFECT DOMAIN THEORIES, Pages 514-551
20 - CONNECTIONIST LEARNING PROCEDURES, Pages 555-610
21 - GENETIC-ALGORITHM-BASED LEARNING, Pages 611-638
22 - APPLYING VALIANT'S LEARNING FRAMEWORK TO AI CONCEPT-LEARNING PROBLEMS, Pages 641-669
23 - A NEW APPROACH TO UNSUPERVISED LEARNING IN DETERMINISTIC ENVIRONMENTS, Pages 670-684
BIBLIOGRAPHY OF RECENT MACHINE LEARNING RESEARCH 1985–1989, Pages 685-789
ABOUT THE AUTHORS, Pages 790-800
AUTHOR INDEX, Pages 801-806
SUBJECT INDEX, Pages 807-825