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Multiple predicate learningDe Raedt, Luc ; Lavrač, Nada ; Džeroski, SašoThe problem with learning multiple predicates is that they are frequently not independent. In this case, some predicate definitions have to use others, which implies that the order in which clauses ... for different predicates are learned is important. In addition, an overgeneralized definition of one predicate can cause severe problems when learning the definitions of predicates that depend on it. While interactive state-of-the-art inductive logic programming (ILP) systems address this problem, empirical ILP systems largely ignore this problem or avoid it by working extensionally, using be learned. The paper identifies the problems with the extensional approaches and presents an empirical ILP systems for learning multiple predicates that effectively deals with the above problems.Source: Proceedings of the Third International Workshop on Inductive Logic Programming [being also] ILP'93 : April 1-3, 1993, Bled Slovenija (Str. 221-240)Type of material - conference contributionPublish date - 1993Language - englishCOBISS.SI-ID - 2718230
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Database name | Field | Year |
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Lavrač, Nada | 08949 |
Džeroski, Sašo | 11130 |
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