Using genetic algorithms to improve prediction of execution times of ML tasks (2012)
- Authors:
- Autor USP: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC
- Unidade: ICMC
- DOI: 10.1007/978-3-642-28942-2
- Assunto: INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: Springer-Verlag
- Publisher place: Berlin
- Date published: 2012
- Source:
- Título do periódico: Lecture Notes in Computer Science
- ISSN: 0302-9743
- Volume/Número/Paginação/Ano: v. 7208, p. 196-207, 2012
- Conference titles: International Conference on Hybrid Artificial Intelligent Systems - HAIS
- Este periódico é de assinatura
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: green
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ABNT
PRIYA, Rattan et al. Using genetic algorithms to improve prediction of execution times of ML tasks. Lecture Notes in Computer Science. Berlin: Springer-Verlag. Disponível em: https://doi.org/10.1007/978-3-642-28942-2. Acesso em: 10 jun. 2024. , 2012 -
APA
Priya, R., Souza, B. F. de, Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2012). Using genetic algorithms to improve prediction of execution times of ML tasks. Lecture Notes in Computer Science. Berlin: Springer-Verlag. doi:10.1007/978-3-642-28942-2 -
NLM
Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Using genetic algorithms to improve prediction of execution times of ML tasks [Internet]. Lecture Notes in Computer Science. 2012 ; 7208 196-207.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1007/978-3-642-28942-2 -
Vancouver
Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Using genetic algorithms to improve prediction of execution times of ML tasks [Internet]. Lecture Notes in Computer Science. 2012 ; 7208 196-207.[citado 2024 jun. 10 ] Available from: https://doi.org/10.1007/978-3-642-28942-2 - Reduction strategies for hierarchical multi-label classification in protein function prediction
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Informações sobre o DOI: 10.1007/978-3-642-28942-2 (Fonte: oaDOI API)
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