Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning (2013)
- Authors:
- USP affiliated authors: HRUSCHKA, EDUARDO RAUL - ICMC ; CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: SBC
- Publisher place: Porto Alegre
- Date published: 2013
- Source:
- Título do periódico: Journal of Information and Data Management - JIDM
- ISSN: 2178-7107
- Volume/Número/Paginação/Ano: v. 4, n. 3, p. 357-372, out. 2013
- Conference titles: Brazilian Symposium on Databases - SBBD
-
ABNT
COVÕES, Thiago F et al. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Disponível em: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256. Acesso em: 24 abr. 2024. , 2013 -
APA
Covões, T. F., Barros, R. C., Silva, T. S. da, Hruschka, E. R., & Carvalho, A. C. P. de L. F. de. (2013). Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning. Journal of Information and Data Management - JIDM. Porto Alegre: SBC. Recuperado de http://seer.lcc.ufmg.br/index.php/jidm/article/view/256 -
NLM
Covões TF, Barros RC, Silva TS da, Hruschka ER, Carvalho ACP de LF de. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning [Internet]. Journal of Information and Data Management - JIDM. 2013 ; 4( 3): 357-372.[citado 2024 abr. 24 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256 -
Vancouver
Covões TF, Barros RC, Silva TS da, Hruschka ER, Carvalho ACP de LF de. Hierarchical bottom-up safe semi-supervised support vector machines for multi-class transductive learning [Internet]. Journal of Information and Data Management - JIDM. 2013 ; 4( 3): 357-372.[citado 2024 abr. 24 ] Available from: http://seer.lcc.ufmg.br/index.php/jidm/article/view/256 - A meta-learning approach to select meta-heuristics for the traveling salesman problem using MLP-based label ranking
- Data stream clustering: a survey
- Selection of algorithms to solve traveling salesman problems using meta-learning
- Usando redes neurais artificiais para recomendar meta-heurísticas para o problema do caixeiro viajante
- Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: a comparison of meta-features
- Using meta-learning to classify traveling salesman problems
- Seleção de atributos para classificação de grãos
- Using meta-learning to recommend meta-heuristics for the traveling salesman problem
- Efficiency issues of evolutionary k-means
- An experimental study on the use of nearest neighbor-based imputation algorithms for classification tasks
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