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  • Background knowledge and declarative bias in inductive concept learning
    Lavrač, Nada ; Džeroski, Sašo
    There are two main limitations of classical inductive learning algorithms: the limited capatibility of talking into account the available background knowledge and the use of limited knowledge ... representation formalisms based on propositional logic. The paper presents a method for using background knowledge effectively in learning both attribute and relational descriptions. The method, implemented in the system LINUS, uses propositional learners in a more expressive logic programming framework. This allows for learning of logic programs in the form of constrained deductive hierarhical database clauses. The paper discusses the language bias imposed by the method and shows how a more expressive language of determinate logic programs can be used within the same framework.
    Vir: Analogical and inductive inference : international workshop AII '92, Dagstuhl Castle, Germany, October 5-9, 1992 : proceedings (Str. 51-71)
    Vrsta gradiva - prispevek na konferenci
    Leto - 1992
    Jezik - angleški
    COBISS.SI-ID - 2672918

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