1. Repositório Aberto da Universidade do Porto
  2. FEUP - Faculdade de Engenharia
  3. FEUP - Artigo em Livro de Atas de Conferência Internacional
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/75047
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dc.creatorNuno Fonseca
dc.creatorRui Camacho
dc.creatorFernado Silva
dc.date.accessioned2022-09-11T18:42:33Z-
dc.date.available2022-09-11T18:42:33Z-
dc.date.issued2003
dc.identifier.othersigarra:64365
dc.identifier.urihttps://hdl.handle.net/10216/75047-
dc.description.abstractIn this paper we tackle the problems of eciency and scala- bility faced by Inductive Logic Programming (ILP) systems. We propose the use of parallelism to improve eciency and the use of an incremental batch learning to address the scalability problem. We describe a novel parallel algorithm that incorporates into ILP the method of incremen- tal batch learning. The theoretical complexity of the algorithm indicates that a linear speedup can be achieved.
dc.language.isoeng
dc.relation.ispartof14th European Conference on Machine Learning (ECML 2003)
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectEngenharia de computadores, Engenharia electrotécnica, electrónica e informática
dc.subjectComputer engineering, Electrical engineering, Electronic engineering, Information engineering
dc.titleA parallel ILP algorithm that incorporates incremental batch learning
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.subject.fosCiências da engenharia e tecnologias::Engenharia electrotécnica, electrónica e informática
dc.subject.fosEngineering and technology::Electrical engineering, Electronic engineering, Information engineering
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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