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.
Leidėjas: | Springer Berlin Heidelberg |
Išleidimo metai: | 1989 |
Knygos puslapių skaičius: | 352 |
ISBN-10: | 3540517340 |
ISBN-13: | 9783540517344 |
Formatas: | Knyga minkštu viršeliu |
Kalba: | Anglų |
Žanras: | Mathematical logic |
Parašykite atsiliepimą apie „Analogical and Inductive Inference: International Workshop AII 89 Reinhardsbrunn Castle, GDR, October 1-6, 1989, Proceedings“