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Analogical and Inductive Inference

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Cover of 'Analogical and Inductive Inference'

Table of Contents

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    Book Overview
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    Chapter 49 Inductive inference from good examples
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    Chapter 50 Inductive inference, DFAs, and computational complexity
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    Chapter 51 Why and how program synthesis?
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    Chapter 52 Some thoughts on the role of examples in program transformation and its relevance for explanation-based learning
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    Chapter 53 Towards representation independence in PAC learning
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    Chapter 54 Learning context-free languages efficiently
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    Chapter 55 Learning programs with an easy to calculate set of errors
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    Chapter 56 Inductive inference up to immune sets
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    Chapter 57 Refined query inference
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    Chapter 58 Learning ω-regular languages from queries and counter-examples (a preliminary report)
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    Chapter 59 A refutation of Barzdins' conjecture
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    Chapter 60 Generalizing multiple examples in explanation based learning
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    Chapter 61 Nested hyper-rectangles for exemplar-based learning
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    Chapter 62 Second-order inductive learning
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    Chapter 63 Modes of analogy
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    Chapter 64 Some aspects of analogy in mathematical reasoning
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    Chapter 65 A sketch of analogy as reasoning with equality hypotheses
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    Chapter 66 Analogical inference as generalised inductive inference
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    Chapter 67 Analogical reasoning for second generation expert systems
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    Chapter 68 Probabilistic inductive inference of indices in enumerable classes of total recursive functions
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    Chapter 69 Inductive inference for solving divergence in Knuth-Bendix completion
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    Chapter 70 Towards a set of inference rules for solving divergence in Knuth-Bendix completion
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    Chapter 71 Inductive synthesis of programs for symbolic sequences processing
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    Chapter 72 Inductive synthesis of encoding for algebraic abstract data types
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Title
Analogical and Inductive Inference
Published by
Springer, Berlin, Heidelberg, January 1989
DOI 10.1007/3-540-51734-0
ISBNs
978-3-54-051734-4, 978-3-54-046798-4
Editors

Klaus P. Jantke