Regression random machines: an ensemble support vector regression model with free kernel choice (2022)
- Authors:
- Autor USP: LOUZADA NETO, FRANCISCO - ICMC
- Unidade: ICMC
- DOI: 10.1016/j.eswa.2022.117107
- Subjects: ANÁLISE DE DESEMPENHO; PREDIÇÃO; SIMULAÇÃO
- Keywords: Support vector regression; Bagging; Kernel functions
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título do periódico: Expert Systems With Applications
- ISSN: 0957-4174
- Volume/Número/Paginação/Ano: v. 202, p. 1-17, 2022
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
ARA, Anderson et al. Regression random machines: an ensemble support vector regression model with free kernel choice. Expert Systems With Applications, v. 202, p. 1-17, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.eswa.2022.117107. Acesso em: 03 jun. 2024. -
APA
Ara, A., Maia, M., Louzada, F., & Macêdo, S. (2022). Regression random machines: an ensemble support vector regression model with free kernel choice. Expert Systems With Applications, 202, 1-17. doi:10.1016/j.eswa.2022.117107 -
NLM
Ara A, Maia M, Louzada F, Macêdo S. Regression random machines: an ensemble support vector regression model with free kernel choice [Internet]. Expert Systems With Applications. 2022 ; 202 1-17.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117107 -
Vancouver
Ara A, Maia M, Louzada F, Macêdo S. Regression random machines: an ensemble support vector regression model with free kernel choice [Internet]. Expert Systems With Applications. 2022 ; 202 1-17.[citado 2024 jun. 03 ] Available from: https://doi.org/10.1016/j.eswa.2022.117107 - Cooperative parallel particle filters for online model selection and applications to urban mobility
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Informações sobre o DOI: 10.1016/j.eswa.2022.117107 (Fonte: oaDOI API)
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