Titlebook: Knowledge Representation and Organization in Machine Learning; Katharina Morik Book 1989 Springer-Verlag Berlin Heidelberg 1989 artificial

figurine

intrude

愚笨

一窩小鳥

臭名昭著

conflate

Using attribute dependencies for rule learning,he availability of the value of an attribute may depend on another attribute or an attribute may affect the relation between another attribute and the class that is learned. If such dependencies exist, they need a rule language that can express rules dealing with missing values. Also, due to these d

通情達(dá)理

Learning disjunctive concepts, algorithm is able to process all classes at once. It integrates several inductive learning methods: An ID.-based system (with several important improvements over the original ID.) and a generalization engine. The first way we approached integration was to use a switchbox mecanism that enabled us to

fibroblast

Addictive

Knowledge base refinement using apprenticeship learning techniques,problems. The described method is an alternative to the long-standing practice of creating such knowledge bases via induction from examples. The form of apprenticeship learning discussed in this paper is a form of learning by watching, in which learning occurs by completing failed explanations of hu

FIR