描述
Machine Learning of Inductive Bias
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. 2 Learning Programs that use a Dynamic Bias. - 3 Searching for a Better Bias. - 3. 1 Simplifications. - 3. 2 The RTA Method for Shifting Bias. - 4 LEX and STABB. - 4. 1 LEX: A Program that Learns from Experimentation. - 4. 2 STABB: a Program that Shifts Bias. - 5 Least Disjunction. - 5. 1 Procedure. - 5. 2 Requirements. - 5. 3 Experiments. - 5. 4 Example Trace. - 5. 5 Discussion. - 6 Constraint Back-Propagation. - 6. 1 Procedure. - 6. 2 Requirements. - 6. 3 Experiments. - 6. 4 Example Trace. - 6. 5 Discussion. - 7 Conclusion. - 7. 1 Summary. - 7. 2 Results. - 7. 3 Issues. - 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. Language: English
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品牌:
Unbranded
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类别:
计算机与互联网
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语言:
English
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出版日期:
2012/04/05
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艺术家:
Paul E. Utgoff
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页数:
166
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出版社/标签:
Springer
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格式:
Paperback
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Fruugo ID:
337896591-741555921
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ISBN:
9781461294085