Machine Learning of Inductive Bias: 15 - Rilegato

Utgoff, Paul E.

Rilegato

ISBN 10: 0898382238 ISBN 13: 9780898382235

Casa editrice: Springer-Verlag GmbH, 1986

Riassunto

Programs that learn concepts from examples are guided not only by the examples (and counterexamples) that they observe, but also by bias that determines which concept is to be considered as following best from the ob­ servations.

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Contenuti

1 Introduction.- 1.1 Machine Learning.- 1.2 Learning Concepts from Examples.- 1.3 Role of Bias in Concept Learning.- 1.4 Kinds of Bias.- 1.5 Origin of Bias.- 1.6 Learning to Learn.- 1.7 The New-Term Problem.- 1.8 Guide to Remaining Chapters.- 2 Related Work.- 2.1 Learning Programs that use a Static Bias.- 2.1.1 Vere’s Thoth without Counterfactuals.- 2.1.2 Vere’s Thoth with Counterfactuals.- 2.1.3 Mitchell’s Candidate Elimination.- 2.1.4 Michalski’s STAR Algorithm.- 2.2 Learning Programs that use a Dynamic Bias.- 2.2.1 Waterman’s Poker Player.- 2.2.2 Lenat’s EURISKO.- 3 Searching for a Better Bias.- 3.1 Simplifications.- 3.1.1 Original Bias.- 3.1.2 Representation of Bias.- 3.1.3 Formalism for Description Language.- 3.1.4 Strength of Bias.- 3.1.5 When to Shift to a Weaker Bias.- 3.2 The RTA Method for Shifting Bias.- 3.2.1 Recommending New Descriptions for a Weaker Bias.- 3.2.2 Translating Recommendations into New Concept Descriptions.- 3.2.3 Assimilating New Concepts into the Hypothesis Space.- 4 LEX and STABB.- 4.1 LEX: A Program that Learns from Experimentation.- 4.1.1 Problem Solver.- 4.1.2 Critic.- 4.1.3 Generalizer.- 4.1.4 Problem Generator.- 4.1.5 Description Language.- 4.1.6 Matching Two Descriptions.- 4.1.7 Operator Language.- 4.2 STABB: a Program that Shifts Bias.- 5 Least Disjunction.- 5.1 Procedure.- 5.1.1 Recommend.- 5.1.2 Translate.- 5.1.3 Assimilate.- 5.2 Requirements.- 5.3 Experiments.- 5.3.1 Experiment #1.- 5.3.2 Experiment #2.- 5.4 Example Trace.- 5.5 Discussion.- 5.5.1 Language Shift and Version Spaces.- 5.5.2 Obsolete Descriptions: Strengthening Bias.- 5.5.3 Choosing Among Syntactic Methods.- 6 Constraint Back-Propagation.- 6.1 Procedure.- 6.1.1 Recommend.- 6.1.2 Translate.- 6.1.3 Assimilate.- 6.2 Requirements.- 6.3 Experiments.- 6.3.1 Experiment #1.- 6.3.2 Experiment #2.- 6.3.3 Experiment #3.- 6.4 Example Trace.- 6.5 Discussion.- 6.5.1 Knowledge Based Assimilation.- 6.5.2 Knowledge Based Set Equivalence.- 6.5.3 Bias in Formalism of Description Language.- 6.5.4 Interaction of Operator Language and Description Language.- 6.5.5 A Method for Computing a Strong and Correct Bias.- 6.5.6 Regressing Sub-Goals.- 7 Conclusion.- 7.1 Summary.- 7.2 Results.- 7.3 Issues.- 7.3.1 Role of Bias.- 7.3.2 Sources of Bias.- 7.3.3 When to Shift.- 7.3.4 Strength of Bias.- 7.3.5 How to Shift Bias.- 7.3.6 Recommending New Descriptions.- 7.3.7 Translating Recommendations.- 7.3.8 Assimilating New Descriptions.- 7.3.9 Side Effects.- 7.3.10 Multiple Uses of Concept Description Language.- 7.4 Further Work.- Appendix A: Lisp Code.- A.1 STABB.- A.2 Grammar.- A.3 Intersection.- A.4 Match.- A.5 Operators.- A.6 Utilities.

Product Description

Book by Utgoff Paul E

Dettagli dell'edizione

• Editore: Springer-Verlag GmbH
• Data di pubblicazione: 1986
• Lingua: Inglese
• ISBN 10: 0898382238
• ISBN 13: 9780898382235
• Rilegatura: Copertina rigida
• Numero di pagine: 188
• Contatto del produttore: ProductSafety@springernature.com; ProductSafety@springernature.com; ; Poststr. 9; Darmstadt; 64293; Germania