Efficient online tree, rule-based and distance-based algorithms (2025)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; MASTELINI, SAULO MARTIELLO - ICMC
- Unidade: ICMC
- DOI: 10.5753/jbcs.2025.5117
- Subjects: APRENDIZADO COMPUTACIONAL; ALGORITMOS PARA PROCESSAMENTO
- Keywords: Online machine learning; Hoeffding trees; Ensembles; Regression; Online nearest neighbors; River library
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher place: Porto Alegre
- Date published: 2025
- Source:
- Título: Journal of the Brazilian Computer Society
- ISSN: 1678-4804
- Volume/Número/Paginação/Ano: v. 31, n. 1, p. 1-9, 2025
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by-nc
-
ABNT
MASTELINI, Saulo Martiello e CARVALHO, André Carlos Ponce de Leon Ferreira de. Efficient online tree, rule-based and distance-based algorithms. Journal of the Brazilian Computer Society, v. 31, n. 1, p. 1-9, 2025Tradução . . Disponível em: https://doi.org/10.5753/jbcs.2025.5117. Acesso em: 04 ago. 2025. -
APA
Mastelini, S. M., & Carvalho, A. C. P. de L. F. de. (2025). Efficient online tree, rule-based and distance-based algorithms. Journal of the Brazilian Computer Society, 31( 1), 1-9. doi:10.5753/jbcs.2025.5117 -
NLM
Mastelini SM, Carvalho ACP de LF de. Efficient online tree, rule-based and distance-based algorithms [Internet]. Journal of the Brazilian Computer Society. 2025 ; 31( 1): 1-9.[citado 2025 ago. 04 ] Available from: https://doi.org/10.5753/jbcs.2025.5117 -
Vancouver
Mastelini SM, Carvalho ACP de LF de. Efficient online tree, rule-based and distance-based algorithms [Internet]. Journal of the Brazilian Computer Society. 2025 ; 31( 1): 1-9.[citado 2025 ago. 04 ] Available from: https://doi.org/10.5753/jbcs.2025.5117 - Fast and lightweight binary and multi-branch Hoeffding tree regressors
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- Towards meta-learning for multi-target regression problems
Informações sobre o DOI: 10.5753/jbcs.2025.5117 (Fonte: oaDOI API)
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