Filtros : "Indexado no EBSCO" "Carvalho, André Carlos Ponce de Leon Ferreira de" Removidos: "Scientia Agricola" "Instituto de Física de São Carlos - IFSC" "HU" Limpar

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  • Source: International Journal of Hybrid Intelligent Systems. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      PRIYA, Rattan et al. Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, v. 10, p. 23-32, 2013Tradução . . Disponível em: https://doi.org/10.3233/HIS-130162. Acesso em: 08 nov. 2024.
    • APA

      Priya, R., Souza, B. F. de, Rossi, A. L. D., & Carvalho, A. C. P. de L. F. de. (2013). Predicting execution time of machine learning tasks for scheduling. International Journal of Hybrid Intelligent Systems, 10, 23-32. doi:10.3233/HIS-130162
    • NLM

      Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.[citado 2024 nov. 08 ] Available from: https://doi.org/10.3233/HIS-130162
    • Vancouver

      Priya R, Souza BF de, Rossi ALD, Carvalho ACP de LF de. Predicting execution time of machine learning tasks for scheduling [Internet]. International Journal of Hybrid Intelligent Systems. 2013 ; 10 23-32.[citado 2024 nov. 08 ] Available from: https://doi.org/10.3233/HIS-130162

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