作者: Nada Lavrač , Sašo Džeroski , Marko Grobelnik
DOI: 10.1007/BFB0017020
关键词:
摘要: Many successful inductive learning systems use a propositional attribute-value language to represent both training examples and induced hypotheses. Recent developments are concerned with that induce concept descriptions in first-order logic. The deductive hierarchical database (DHDB) formalism is restricted form of Horn clause logic which nonrecursive logical definitions relations can be expressed. Having variables, compound terms predicates, the DHDB allows for more compact concepts than an language. Our system LINUS uses as relations. paper gives description presents results its application several tasks taken from machine literature. A comparison other given well.