MACHINE LEARNING FROM EXAMPLES - INDUCTIVE AND LAZY METHODS

Machine Learning from examples may be used, within Artificial Intellig ence, as a way to acquire general knowledge or associate to a concrete problem solving system. Inductive learning methods are typically used to acquire general knowledge from examples. Lazy methods are those in which the experience is accessed, selected and used in a problem-cent ered way. In this paper we report important approaches to inductive le arning methods such as propositional and relational learners, with an emphasis in Inductive Logic Programming based methods, as well as to l azy methods such as instance-based and case-based reasoning. (C) 1998 Elsevier Science B.V.