April - An inductive logic programming system

Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/67418

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DC Field	Value	Language
dc.creator	Nuno A. Fonseca
dc.creator	Fernando Silva
dc.creator	Rui Camacho
dc.date.accessioned	2022-09-08T16:18:53Z	-
dc.date.available	2022-09-08T16:18:53Z	-
dc.date.issued	2006
dc.identifier.other	sigarra:65213
dc.identifier.uri	https://hdl.handle.net/10216/67418	-
dc.description.abstract	Inductive Logic Programming (ILP) is a Machine Learning research field that has been quite successful in knowledge discovery in relational domains. ILP systems use a set of pre-classified examples (positive and negative) and prior knowledge to learn a theory in which positive examples succeed and the negative examples fail. In this paper we present a novel ILP system called April, capable of exploring several parallel strategies in distributed and shared memory machines.
dc.language.iso	eng
dc.rights	openAccess
dc.rights.uri	https://creativecommons.org/licenses/by-nc/4.0/
dc.subject	Ciências da computação e da informação
dc.subject	Computer and information sciences
dc.title	April - An inductive logic programming system
dc.type	Artigo em Revista Científica Internacional
dc.contributor.uporto	Faculdade de Engenharia
dc.contributor.uporto	Faculdade de Ciências
dc.identifier.doi	10.1007/11853886_42
dc.identifier.authenticus	P-004-Q8N
dc.subject.fos	Ciências exactas e naturais::Ciências da computação e da informação
dc.subject.fos	Natural sciences::Computer and information sciences
Appears in Collections:	FCUP - Artigo em Revista Científica Internacional FEUP - Artigo em Revista Científica Internacional

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