Online local boosting: improving performance in online decision trees (2019)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; MASTELINI, SAULO MARTIELLO - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2019.00032
- Subjects: MINERAÇÃO DE DADOS; ALGORITMOS ÚTEIS E ESPECÍFICOS; ANÁLISE DE SÉRIES TEMPORAIS
- Keywords: Data streams; classification; boosting; hoeffding trees
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2019
- Source:
- Título: Proceedings
- ISSN: 2643-6264
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
-
ABNT
COSTA, Victor Guilherme Turrisi da et al. Online local boosting: improving performance in online decision trees. 2019, Anais.. Piscataway: IEEE, 2019. Disponível em: https://doi.org/10.1109/BRACIS.2019.00032. Acesso em: 02 out. 2024. -
APA
Costa, V. G. T. da, Mastelini, S. M., Carvalho, A. C. P. de L. F. de, & Barbon Júnior, S. (2019). Online local boosting: improving performance in online decision trees. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2019.00032 -
NLM
Costa VGT da, Mastelini SM, Carvalho ACP de LF de, Barbon Júnior S. Online local boosting: improving performance in online decision trees [Internet]. Proceedings. 2019 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1109/BRACIS.2019.00032 -
Vancouver
Costa VGT da, Mastelini SM, Carvalho ACP de LF de, Barbon Júnior S. Online local boosting: improving performance in online decision trees [Internet]. Proceedings. 2019 ;[citado 2024 out. 02 ] Available from: https://doi.org/10.1109/BRACIS.2019.00032 - Fast and lightweight binary and multi-branch Hoeffding tree regressors
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Informações sobre o DOI: 10.1109/BRACIS.2019.00032 (Fonte: oaDOI API)
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