Dimensionality reduction for the algorithm recommendation problem (2018)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1109/BRACIS.2018.00062
- Subjects: APRENDIZADO COMPUTACIONAL; ALGORITMOS ÚTEIS E ESPECÍFICOS
- Keywords: Dimensionality reduction; Algorithm recommendation; Meta-learning
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: Brazilian Conference on Intelligent Systems - BRACIS
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
ALCOBAÇA, Edesio et al. Dimensionality reduction for the algorithm recommendation problem. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00062. Acesso em: 22 fev. 2026. -
APA
Alcobaça, E., Mantovani, R. G., Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2018). Dimensionality reduction for the algorithm recommendation problem. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00062 -
NLM
Alcobaça E, Mantovani RG, Rossi ALD, Carvalho ACP de LF de. Dimensionality reduction for the algorithm recommendation problem [Internet]. Proceedings. 2018 ;[citado 2026 fev. 22 ] Available from: https://doi.org/10.1109/BRACIS.2018.00062 -
Vancouver
Alcobaça E, Mantovani RG, Rossi ALD, Carvalho ACP de LF de. Dimensionality reduction for the algorithm recommendation problem [Internet]. Proceedings. 2018 ;[citado 2026 fev. 22 ] Available from: https://doi.org/10.1109/BRACIS.2018.00062 - Gabinete pequeno é destaque de pc itautec
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Informações sobre o DOI: 10.1109/BRACIS.2018.00062 (Fonte: oaDOI API)
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