Analogical and Inductive Inference
International Workshop AII '89, Reinhardsbrunn Castle, GDR, October 1-6, 1989, Proceedings
(Sprache: Englisch)
Inductive inference from good examples.- Inductive inference, DFAs, and computational complexity.- Why and how program synthesis?.- Some thoughts on the role of examples in program transformation and its relevance for explanation-based learning.- Towards...
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Klappentext zu „Analogical and Inductive Inference “
Inductive inference from good examples.- Inductive inference, DFAs, and computational complexity.- Why and how program synthesis?.- Some thoughts on the role of examples in program transformation and its relevance for explanation-based learning.- Towards representation independence in PAC learning.- Learning context-free languages efficiently.- Learning programs with an easy to calculate set of errors.- Inductive inference up to immune sets.- Refined query inference.- Learning ?-regular languages from queries and counter-examples (a preliminary report).- A refutation of Barzdins' conjecture.- Generalizing multiple examples in explanation based learning.- Nested hyper-rectangles for exemplar-based learning.- Second-order inductive learning.- Modes of analogy.- Some aspects of analogy in mathematical reasoning.- A sketch of analogy as reasoning with equality hypotheses.- Analogical inference as generalised inductive inference.- Analogical reasoning for second generation expert systems.- Probabilistic inductive inference of indices in enumerable classes of total recursive functions.- Inductive inference for solving divergence in Knuth-Bendix completion.- Towards a set of inference rules for solving divergence in Knuth-Bendix completion.- Inductive synthesis of programs for symbolic sequences processing.- Inductive synthesis of encoding for algebraic abstract data types.
Inhaltsverzeichnis zu „Analogical and Inductive Inference “
Inductive inference from good examples.- Inductive inference, DFAs, and computational complexity.- Why and how program synthesis?.- Some thoughts on the role of examples in program transformation and its relevance for explanation-based learning.- Towards representation independence in PAC learning.- Learning context-free languages efficiently.- Learning programs with an easy to calculate set of errors.- Inductive inference up to immune sets.- Refined query inference.- Learning ?-regular languages from queries and counter-examples (a preliminary report).- A refutation of Barzdins' conjecture.- Generalizing multiple examples in explanation based learning.- Nested hyper-rectangles for exemplar-based learning.- Second-order inductive learning.- Modes of analogy.- Some aspects of analogy in mathematical reasoning.- A sketch of analogy as reasoning with equality hypotheses.- Analogical inference as generalised inductive inference.- Analogical reasoning for second generation expert systems.- Probabilistic inductive inference of indices in enumerable classes of total recursive functions.- Inductive inference for solving divergence in Knuth-Bendix completion.- Towards a set of inference rules for solving divergence in Knuth-Bendix completion.- Inductive synthesis of programs for symbolic sequences processing.- Inductive synthesis of encoding for algebraic abstract data types.
Bibliographische Angaben
- 1989, 1989, 338 Seiten, Maße: 15,5 x 23,5 cm, Kartoniert (TB), Englisch
- Ed. by Klaus P. Jantke
- Herausgegeben: Klaus P. Jantke
- Verlag: Springer
- ISBN-10: 3540517340
- ISBN-13: 9783540517344
- Erscheinungsdatum: 20.09.1989
Sprache:
Englisch
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