Using genetic algorithms to improve prediction of execution times of ML tasks (2012)
Priya, Rattan; Souza, Bruno Feres de; Rossi, André L. D; Carvalho, André Carlos Ponce de Leon Ferreira de 
Source: Lecture Notes in Computer Science. Conference titles: International Conference on Hybrid Artificial Intelligent Systems - HAIS. Unidade: ICMC
Assunto: INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 05 nov. 2025. , 2012APA
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:10.1007/978-3-642-28942-2NLM
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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-28942-2Vancouver
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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-642-28942-2
