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Multiple Predicate Learning in Two Inductive Logic Programming Settings

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Multiple Predicate Learning in Two Inductive Logic Programming Settings
Id. 46436790
Idioma inglés
Titulo Multiple Predicate Learning in Two Inductive Logic Programming Settings
Autor(es) Luc De Raedt
Nada Lavrac
Localización http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.33.2485
Versión 1.0
Estado Final
Descripción Inductive logic programming (ILP) is a research area which has its roots in inductive machine learning and computational logic. The paper gives an introduction to this area based on a distinction between two different semantics used in inductive logic programming, and illustrates their application in knowledge discovery and programming. Whereas most research in inductive logic programming has focussed on learning single predicates from given datasets using the normal ILP semantics (e.g. the well known ILP systems GOLEM and FOIL), the paper investigates also the non-monotonic ILP semantics and the learning problems involving multiple predicates. The non-monotonic ILP setting avoids the order dependency problem of the normal setting when learning multiple predicates, extends the representation of the induced hypotheses to full clausal logic, and can be applied to different types of application. Keywords: inductive logic programming, induction, logic programming, machine learning 1 Intro...
Tipo application/postscript
Palabras clave inductive logic programming
Tipo de recurso Texto Narrativo
Tipo de Interactividad Expositivo
Nivel de Interactividad muy bajo
Audiencia Estudiante
Profesor
Autor
Estructura Atomic
Coste no
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Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Formatos application/postscript
Requerimientos técnicos Browser: Any
Relación [IsBasedOn] http://www.dcs.kcl.ac.uk/journals/igpl/IGPL/V4-2/Raedt.ps.gz
[References] 10.1.1.18.2410
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[References] 10.1.1.118.4107
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[References] 10.1.1.30.3929
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[References] 10.1.1.93.1238
[References] 10.1.1.136.525
[References] 10.1.1.5.4825
Fecha de contribución 28-jul-2009
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