Titlebook: Analogical and Inductive Inference; International Worksh Klaus P. Jantke Conference proceedings 1989 Springer-Verlag Berlin Heidelberg 1989

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companion

OATH

https://doi.org/10.1007/978-3-642-45692-3am transformation, guiding not only the unfolding, but also the introduction of new predicates and the folding. On the other hand, we illustrate the more fundamental restructuring which is possible with program transformation and the relevance of completeness results to eliminate computationally inefficient knowledge.

DEFER

https://doi.org/10.1007/978-1-4684-0249-0rocess in two directions. First, the number of mind changes can be reduced, and second, more function classes become inferrible. On the other hand, the Theorems 6 and 15 show that the learning potential of QIMs does mainly depend on the complexity of the allowed questions measured in the number of involved quantifiers.

修正案

Differential Equations and Dynamical Systemsadigm is introduced by means of an example problem from the field of conceptual modeling. We analyse the reasons why a naive solution to that problem is not fully satisfactory by studying the .. Once it is clear why this model is not directly applicable, we attempt to restore it by defining the notion of a ..

譏笑

Some thoughts on the role of examples in program transformation and its relevance for explanation-bam transformation, guiding not only the unfolding, but also the introduction of new predicates and the folding. On the other hand, we illustrate the more fundamental restructuring which is possible with program transformation and the relevance of completeness results to eliminate computationally inefficient knowledge.

高度

Refined query inference,rocess in two directions. First, the number of mind changes can be reduced, and second, more function classes become inferrible. On the other hand, the Theorems 6 and 15 show that the learning potential of QIMs does mainly depend on the complexity of the allowed questions measured in the number of involved quantifiers.

1FAWN

Second-order inductive learning,adigm is introduced by means of an example problem from the field of conceptual modeling. We analyse the reasons why a naive solution to that problem is not fully satisfactory by studying the .. Once it is clear why this model is not directly applicable, we attempt to restore it by defining the notion of a ..

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