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Filtros : "INTELIGÊNCIA ARTIFICIAL" "Reino Unido" "2009" Removidos: "Antropologia Social" "Emil Aaltonen Foundation" Limpar

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  • Artigo de periodico

    Application and development of biologically plausible neural networks in a multiagent artificial life system (2009)

    Schneider, Marvin Oliver; Rosa, João Luís Garcia

    Source: Neural Computing & Applications. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteAcesso à fonteDOIHow to cite
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    • ABNT

      SCHNEIDER, Marvin Oliver e ROSA, João Luís Garcia. Application and development of biologically plausible neural networks in a multiagent artificial life system. Neural Computing & Applications, v. 18, n. 1, p. 65-75, 2009Tradução . . Disponível em: https://doi.org/10.1007/s00521-007-0156-0. Acesso em: 04 nov. 2024.

    • APA

      Schneider, M. O., & Rosa, J. L. G. (2009). Application and development of biologically plausible neural networks in a multiagent artificial life system. Neural Computing & Applications, 18( 1), 65-75. doi:10.1007/s00521-007-0156-0

    • NLM

      Schneider MO, Rosa JLG. Application and development of biologically plausible neural networks in a multiagent artificial life system [Internet]. Neural Computing & Applications. 2009 ; 18( 1): 65-75.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00521-007-0156-0

    • Vancouver

      Schneider MO, Rosa JLG. Application and development of biologically plausible neural networks in a multiagent artificial life system [Internet]. Neural Computing & Applications. 2009 ; 18( 1): 65-75.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1007/s00521-007-0156-0

  • 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
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    • 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: 04 nov. 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 nov. 04 ] 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 nov. 04 ] Available from: https://doi.org/10.1080/09528130802246602

  • Artigo de periodico

    Meta-learning approach to gene expression data classification (2009)

    Souza, Bruno Feres de; Soares, Carlos; Carvalho, André Carlos Ponce de Leon Ferreira de

    Source: International Journal of Intelligent Computing and Cybernetics. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Acesso à fonteDOIHow to cite
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    • ABNT

      SOUZA, Bruno Feres de e SOARES, Carlos e CARVALHO, André Carlos Ponce de Leon Ferreira de. Meta-learning approach to gene expression data classification. International Journal of Intelligent Computing and Cybernetics, v. 2, n. 2, p. 285-303, 2009Tradução . . Disponível em: https://doi.org/10.1108/17563780910959901. Acesso em: 04 nov. 2024.

    • APA

      Souza, B. F. de, Soares, C., & Carvalho, A. C. P. de L. F. de. (2009). Meta-learning approach to gene expression data classification. International Journal of Intelligent Computing and Cybernetics, 2( 2), 285-303. doi:10.1108/17563780910959901

    • NLM

      Souza BF de, Soares C, Carvalho ACP de LF de. Meta-learning approach to gene expression data classification [Internet]. International Journal of Intelligent Computing and Cybernetics. 2009 ; 2( 2): 285-303.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1108/17563780910959901

    • Vancouver

      Souza BF de, Soares C, Carvalho ACP de LF de. Meta-learning approach to gene expression data classification [Internet]. International Journal of Intelligent Computing and Cybernetics. 2009 ; 2( 2): 285-303.[citado 2024 nov. 04 ] Available from: https://doi.org/10.1108/17563780910959901
  • 1

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