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Filtros : "MONARD, MARIA CAROLINA" "IOS Press" Removido: "Congress of Logic Aplied to Technology" Limpar

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  • Parte de monografia/livro

    Methods for constructing symbolic ensembles from symbolic classifiers (2005)

    Bernardini, Flávia Cristina; Monard, Maria Carolina

    Fonte: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Como citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BERNARDINI, Flávia Cristina e MONARD, Maria Carolina. Methods for constructing symbolic ensembles from symbolic classifiers. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 28 nov. 2025.

    • APA

      Bernardini, F. C., & Monard, M. C. (2005). Methods for constructing symbolic ensembles from symbolic classifiers. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.

    • NLM

      Bernardini FC, Monard MC. Methods for constructing symbolic ensembles from symbolic classifiers. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

    • Vancouver

      Bernardini FC, Monard MC. Methods for constructing symbolic ensembles from symbolic classifiers. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

  • Parte de monografia/livro

    Multi-view semi-supervised learning: an approach to obtain different views from text datasets (2005)

    Matsubara, Edson Takashi; Monard, Maria Carolina ; Batista, Gustavo Enrique de Almeida Prado Alves

    Fonte: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Como citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      MATSUBARA, Edson Takashi e MONARD, Maria Carolina e BATISTA, Gustavo Enrique de Almeida Prado Alves. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 28 nov. 2025.

    • APA

      Matsubara, E. T., Monard, M. C., & Batista, G. E. de A. P. A. (2005). Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.

    • NLM

      Matsubara ET, Monard MC, Batista GE de APA. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

    • Vancouver

      Matsubara ET, Monard MC, Batista GE de APA. Multi-view semi-supervised learning: an approach to obtain different views from text datasets. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

  • Parte de monografia/livro

    Feature subset selection for supervised learning using fractal dimension (2005)

    Lee, Huei Diana; Monard, Maria Carolina ; Wu, Feng Chung

    Fonte: Advances in Logic Based Intelligent Systems. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Como citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      LEE, Huei Diana e MONARD, Maria Carolina e WU, Feng Chung. Feature subset selection for supervised learning using fractal dimension. Advances in Logic Based Intelligent Systems. Tradução . Amsterdam: IOS Press, 2005. . . Acesso em: 28 nov. 2025.

    • APA

      Lee, H. D., Monard, M. C., & Wu, F. C. (2005). Feature subset selection for supervised learning using fractal dimension. In Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press.

    • NLM

      Lee HD, Monard MC, Wu FC. Feature subset selection for supervised learning using fractal dimension. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

    • Vancouver

      Lee HD, Monard MC, Wu FC. Feature subset selection for supervised learning using fractal dimension. In: Advances in Logic Based Intelligent Systems. Amsterdam: IOS Press; 2005. [citado 2025 nov. 28 ]

  • Parte de monografia/livro

    A study of k-nearest neighbour as an imputation method (2002)

    Batista, Gustavo Enrique de Almeida Prado Alves; Monard, Maria Carolina

    Fonte: Soft Computing System: design, management and applications. Unidade: ICMC

    Assunto: INTELIGÊNCIA ARTIFICIAL

    Como citar
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas

    • ABNT

      BATISTA, Gustavo Enrique de Almeida Prado Alves e MONARD, Maria Carolina. A study of k-nearest neighbour as an imputation method. Soft Computing System: design, management and applications. Tradução . Amsterdan: IOS Press, 2002. . . Acesso em: 28 nov. 2025.

    • APA

      Batista, G. E. de A. P. A., & Monard, M. C. (2002). A study of k-nearest neighbour as an imputation method. In Soft Computing System: design, management and applications. Amsterdan: IOS Press.

    • NLM

      Batista GE de APA, Monard MC. A study of k-nearest neighbour as an imputation method. In: Soft Computing System: design, management and applications. Amsterdan: IOS Press; 2002. [citado 2025 nov. 28 ]

    • Vancouver

      Batista GE de APA, Monard MC. A study of k-nearest neighbour as an imputation method. In: Soft Computing System: design, management and applications. Amsterdan: IOS Press; 2002. [citado 2025 nov. 28 ]
  • 1

1 - 4 (4 registros)

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