Filtros : "International Journal of Approximate Reasoning" "MODELOS PARA PROCESSOS ESTOCÁSTICOS" Limpar

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  • Source: International Journal of Approximate Reasoning. Unidade: IME

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      MAUÁ, Denis Deratani e CAMPOS, Cassio Polpo de. Special issue on robustness in probabilistic graphical models. [Editorial]. International Journal of Approximate Reasoning. Philadelphia: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.ijar.2021.07.002. Acesso em: 09 nov. 2025. , 2021
    • APA

      Mauá, D. D., & Campos, C. P. de. (2021). Special issue on robustness in probabilistic graphical models. [Editorial]. International Journal of Approximate Reasoning. Philadelphia: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.ijar.2021.07.002
    • NLM

      Mauá DD, Campos CP de. Special issue on robustness in probabilistic graphical models. [Editorial] [Internet]. International Journal of Approximate Reasoning. 2021 ; 137 113.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2021.07.002
    • Vancouver

      Mauá DD, Campos CP de. Special issue on robustness in probabilistic graphical models. [Editorial] [Internet]. International Journal of Approximate Reasoning. 2021 ; 137 113.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2021.07.002
  • Source: International Journal of Approximate Reasoning. Unidade: IME

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      MATTEI, Lilith et al. Tractable inference in credal sentential decision diagrams. International Journal of Approximate Reasoning, v. 125, p. 26-48, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2020.06.005. Acesso em: 09 nov. 2025.
    • APA

      Mattei, L., Antonucci, A., Mauá, D. D., Facchini, A., & Villanueva Llerena, J. G. (2020). Tractable inference in credal sentential decision diagrams. International Journal of Approximate Reasoning, 125, 26-48. doi:10.1016/j.ijar.2020.06.005
    • NLM

      Mattei L, Antonucci A, Mauá DD, Facchini A, Villanueva Llerena JG. Tractable inference in credal sentential decision diagrams [Internet]. International Journal of Approximate Reasoning. 2020 ; 125 26-48.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.06.005
    • Vancouver

      Mattei L, Antonucci A, Mauá DD, Facchini A, Villanueva Llerena JG. Tractable inference in credal sentential decision diagrams [Internet]. International Journal of Approximate Reasoning. 2020 ; 125 26-48.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.06.005
  • Source: International Journal of Approximate Reasoning. Unidades: IME, EP

    Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, PROBABILIDADE

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    • ABNT

      MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. Thirty years of credal networks: specification, algorithms and complexity. International Journal of Approximate Reasoning, v. 126, p. 133-157, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2020.08.009. Acesso em: 09 nov. 2025.
    • APA

      Mauá, D. D., & Cozman, F. G. (2020). Thirty years of credal networks: specification, algorithms and complexity. International Journal of Approximate Reasoning, 126, 133-157. doi:10.1016/j.ijar.2020.08.009
    • NLM

      Mauá DD, Cozman FG. Thirty years of credal networks: specification, algorithms and complexity [Internet]. International Journal of Approximate Reasoning. 2020 ; 126 133-157.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.08.009
    • Vancouver

      Mauá DD, Cozman FG. Thirty years of credal networks: specification, algorithms and complexity [Internet]. International Journal of Approximate Reasoning. 2020 ; 126 133-157.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.08.009
  • Source: International Journal of Approximate Reasoning. Unidade: IME

    Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, APRENDIZADO COMPUTACIONAL

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    • ABNT

      VILLANUEVA LLERENA, Julissa e MAUÁ, Denis Deratani. Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks. International Journal of Approximate Reasoning, v. 126, p. 158-180-, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2020.07.008. Acesso em: 09 nov. 2025.
    • APA

      Villanueva Llerena, J., & Mauá, D. D. (2020). Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks. International Journal of Approximate Reasoning, 126, 158-180-. doi:10.1016/j.ijar.2020.07.008
    • NLM

      Villanueva Llerena J, Mauá DD. Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks [Internet]. International Journal of Approximate Reasoning. 2020 ; 126 158-180-.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.07.008
    • Vancouver

      Villanueva Llerena J, Mauá DD. Efficient algorithms for robustness analysis of maximum a posteriori inference in selective sum-product networks [Internet]. International Journal of Approximate Reasoning. 2020 ; 126 158-180-.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.07.008
  • Source: International Journal of Approximate Reasoning. Unidades: IME, EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      MAUÁ, Denis Deratani et al. Robustifying sum-product networks. International Journal of Approximate Reasoning, v. 101, p. 163-180, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2018.07.003. Acesso em: 09 nov. 2025.
    • APA

      Mauá, D. D., Conaty, D., Cozman, F. G., Poppenhaeger, K., & Campos, C. P. de. (2018). Robustifying sum-product networks. International Journal of Approximate Reasoning, 101, 163-180. doi:10.1016/j.ijar.2018.07.003
    • NLM

      Mauá DD, Conaty D, Cozman FG, Poppenhaeger K, Campos CP de. Robustifying sum-product networks [Internet]. International Journal of Approximate Reasoning. 2018 ; 101 163-180.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.07.003
    • Vancouver

      Mauá DD, Conaty D, Cozman FG, Poppenhaeger K, Campos CP de. Robustifying sum-product networks [Internet]. International Journal of Approximate Reasoning. 2018 ; 101 163-180.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.07.003
  • Source: International Journal of Approximate Reasoning. Unidades: IME, EP

    Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA

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    • ABNT

      MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, v. 68, n. Ja 2016, p. 230-245, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2015.05.003. Acesso em: 09 nov. 2025.
    • APA

      Mauá, D. D., & Cozman, F. G. (2016). Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, 68( Ja 2016), 230-245. doi:10.1016/j.ijar.2015.05.003
    • NLM

      Mauá DD, Cozman FG. Fast local search methods for solving limited memory influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 230-245.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2015.05.003
    • Vancouver

      Mauá DD, Cozman FG. Fast local search methods for solving limited memory influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 230-245.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2015.05.003

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