Combining meta-learning and optimization algorithms for parameter selection

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2012

Autores

Gomes, T (Autor) Outra; Miranda, P (Autor) Outra; Prudencio, R (Autor) Outra; Carlos Soares (Autor) FEP; Carvalho, A (Autor) Outra

Ata de Conferência Internacional

Título: CEUR Workshop Proceedings

Páginas: 6-7

5th Planning to Learn Workshop, PlanLearn 2012 at 2012 European Conference on Artificial Intelligence, ECAI 2012

28 August 2012

Indexação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-00K-SPY

Abstract (EN): In this article we investigate the combination of meta-learning and optimization algorithms for parameter selection. We discuss our general proposal as well as present the recent develop-ments and experiments performed using Support Vector Machines (SVMs). Meta-learning was combined to single and multi-objective optimization techniques to select SVM parameters. The hybrid meth-ods derived from the proposal presented better results on predictive accuracy than the use of traditional optimization techniques.

Idioma: Inglês

Tipo (Avaliação Docente): Científica