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Filtros : "Indexado no Zentralblatt MATH" "HRUSCHKA, EDUARDO RAUL" Removido: "Brasil" Limpar

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  • Artigo de periodico

    Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: a comparison of meta-features (2016)

    Kanda, Jorge; Carvalho, André Carlos Ponce de Leon Ferreira de ; Hruschka, Eduardo Raul ; Soares, Carlos; Brazdil, Pavel

    Source: Neurocomputing. Unidade: ICMC

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, HEURÍSTICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      KANDA, Jorge et al. Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: a comparison of meta-features. Neurocomputing, v. 205, p. Se 2016, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.neucom.2016.04.027. Acesso em: 31 out. 2024.

    • APA

      Kanda, J., Carvalho, A. C. P. de L. F. de, Hruschka, E. R., Soares, C., & Brazdil, P. (2016). Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: a comparison of meta-features. Neurocomputing, 205, Se 2016. doi:10.1016/j.neucom.2016.04.027

    • NLM

      Kanda J, Carvalho ACP de LF de, Hruschka ER, Soares C, Brazdil P. Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: a comparison of meta-features [Internet]. Neurocomputing. 2016 ; 205 Se 2016.[citado 2024 out. 31 ] Available from: https://doi.org/10.1016/j.neucom.2016.04.027

    • Vancouver

      Kanda J, Carvalho ACP de LF de, Hruschka ER, Soares C, Brazdil P. Meta-learning to select the best meta-heuristic for the Traveling Salesman Problem: a comparison of meta-features [Internet]. Neurocomputing. 2016 ; 205 Se 2016.[citado 2024 out. 31 ] Available from: https://doi.org/10.1016/j.neucom.2016.04.027

  • Artigo de periodico

    On the influence of imputation in classification: practical issues (2009)

    Hruschka, Eduardo Raul ; Garcia, Antonio J. T.; Hruschka Junior, Estevam Rafael ; Ebecken, Nelson Francisco Favilla

    Source: Journal of Experimental & Theoretical Artificial Intelligence. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      HRUSCHKA, Eduardo Raul et al. On the influence of imputation in classification: practical issues. Journal of Experimental & Theoretical Artificial Intelligence, v. 21, n. 1, p. 43 - 58, 2009Tradução . . Disponível em: https://doi.org/10.1080/09528130802246602. Acesso em: 31 out. 2024.

    • APA

      Hruschka, E. R., Garcia, A. J. T., Hruschka Junior, E. R., & Ebecken, N. F. F. (2009). On the influence of imputation in classification: practical issues. Journal of Experimental & Theoretical Artificial Intelligence, 21( 1), 43 - 58. doi:10.1080/09528130802246602

    • NLM

      Hruschka ER, Garcia AJT, Hruschka Junior ER, Ebecken NFF. On the influence of imputation in classification: practical issues [Internet]. Journal of Experimental & Theoretical Artificial Intelligence. 2009 ; 21( 1): 43 - 58.[citado 2024 out. 31 ] Available from: https://doi.org/10.1080/09528130802246602

    • Vancouver

      Hruschka ER, Garcia AJT, Hruschka Junior ER, Ebecken NFF. On the influence of imputation in classification: practical issues [Internet]. Journal of Experimental & Theoretical Artificial Intelligence. 2009 ; 21( 1): 43 - 58.[citado 2024 out. 31 ] Available from: https://doi.org/10.1080/09528130802246602
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