An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection (2012)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-31137-6_43
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2012
- Source:
- Título: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7335, p. 562-575, 2012
- Conference titles: International Conference on Computational Science and its Applications - ICCSA
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
MIRANDA, Péricles B. C et al. An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-31137-6_43. Acesso em: 28 dez. 2025. , 2012 -
APA
Miranda, P. B. C., Prudêncio, R. B. C., Carvalho, A. C. P. de L. F. de, & Soares, C. (2012). An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-31137-6_43 -
NLM
Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection [Internet]. Lecture Notes in Computer Science. 2012 ; 7335 562-575.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-642-31137-6_43 -
Vancouver
Miranda PBC, Prudêncio RBC, Carvalho ACP de LF de, Soares C. An experimental study of the combination of meta-learning with particle swarm algorithms for SVM parameter selection [Internet]. Lecture Notes in Computer Science. 2012 ; 7335 562-575.[citado 2025 dez. 28 ] Available from: https://doi.org/10.1007/978-3-642-31137-6_43 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1007/978-3-642-31137-6_43 (Fonte: oaDOI API)
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