Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems (2015)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.knosys.2015.09.023
- Subjects: INTELIGÊNCIA ARTIFICIAL; APRENDIZADO COMPUTACIONAL
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Knowledge-Based Systems
- ISSN: 0950-7051
- Volume/Número/Paginação/Ano: v. 90, p. 153-164, Dec. 2015
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
GARCIA, Luís P. F et al. Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowledge-Based Systems, v. 90, p. 153-164, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.knosys.2015.09.023. Acesso em: 16 abr. 2024. -
APA
Garcia, L. P. F., Sáez, J. A., Luengo, J., Lorena, A. C., Carvalho, A. C. P. de L. F. de, & Herrera, F. (2015). Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowledge-Based Systems, 90, 153-164. doi:10.1016/j.knosys.2015.09.023 -
NLM
Garcia LPF, Sáez JA, Luengo J, Lorena AC, Carvalho ACP de LF de, Herrera F. Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems [Internet]. Knowledge-Based Systems. 2015 ; 90 153-164.[citado 2024 abr. 16 ] Available from: https://doi.org/10.1016/j.knosys.2015.09.023 -
Vancouver
Garcia LPF, Sáez JA, Luengo J, Lorena AC, Carvalho ACP de LF de, Herrera F. Using the one-vs-one decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems [Internet]. Knowledge-Based Systems. 2015 ; 90 153-164.[citado 2024 abr. 16 ] Available from: https://doi.org/10.1016/j.knosys.2015.09.023 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1016/j.knosys.2015.09.023 (Fonte: oaDOI API)
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