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Filtros : "International Journal of Approximate Reasoning" "PROGRAMAÇÃO LÓGICA" Limpar

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  • Artigo de periodico

    The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference (2020)

    Cozman, Fabio Gagliardi ; Mauá, Denis Deratani

    Source: International Journal of Approximate Reasoning. Unidades: EP, IME

    Subjects: PROGRAMAÇÃO LÓGICA, COMPUTABILIDADE E COMPLEXIDADE

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    • ABNT

      COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference. International Journal of Approximate Reasoning, v. 125, p. 218-239, 2020Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2020.07.004. Acesso em: 09 nov. 2025.

    • APA

      Cozman, F. G., & Mauá, D. D. (2020). The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference. International Journal of Approximate Reasoning, 125, 218-239. doi:10.1016/j.ijar.2020.07.004

    • NLM

      Cozman FG, Mauá DD. The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference [Internet]. International Journal of Approximate Reasoning. 2020 ; 125 218-239.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.07.004

    • Vancouver

      Cozman FG, Mauá DD. The joy of probabilistic answer set programming: semantics, complexity, expressivity, inference [Internet]. International Journal of Approximate Reasoning. 2020 ; 125 218-239.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2020.07.004

  • Artigo de periodico

    Speeding up parameter and rule learning for acyclic probabilistic logic programs (2019)

    Faria, Francisco Henrique Otte Vieira de ; Gusmão, Arthur Colombini ; De Bona, Glauber ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi

    Source: International Journal of Approximate Reasoning. Unidades: EP, IME

    Subjects: PROGRAMAÇÃO LÓGICA, APRENDIZADO COMPUTACIONAL

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

    • ABNT

      FARIA, Francisco Henrique Otte Vieira de et al. Speeding up parameter and rule learning for acyclic probabilistic logic programs. International Journal of Approximate Reasoning, v. 106, p. 32-50, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2018.12.012. Acesso em: 09 nov. 2025.

    • APA

      Faria, F. H. O. V. de, Gusmão, A. C., De Bona, G., Mauá, D. D., & Cozman, F. G. (2019). Speeding up parameter and rule learning for acyclic probabilistic logic programs. International Journal of Approximate Reasoning, 106, 32-50. doi:10.1016/j.ijar.2018.12.012

    • NLM

      Faria FHOV de, Gusmão AC, De Bona G, Mauá DD, Cozman FG. Speeding up parameter and rule learning for acyclic probabilistic logic programs [Internet]. International Journal of Approximate Reasoning. 2019 ; 106 32-50.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.12.012

    • Vancouver

      Faria FHOV de, Gusmão AC, De Bona G, Mauá DD, Cozman FG. Speeding up parameter and rule learning for acyclic probabilistic logic programs [Internet]. International Journal of Approximate Reasoning. 2019 ; 106 32-50.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.12.012
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