Filtros : "Mattei, Lilith" Limpar

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

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

    PrivadoAcesso à fonteDOIHow to cite
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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: 12 maio 2024.
    • 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 2024 maio 12 ] 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 2024 maio 12 ] Available from: https://doi.org/10.1016/j.ijar.2020.06.005
  • Source: Proceedings of Machine Learning Research - PMLR. Conference titles: Workshop on Tractable Probabilistic Modeling - TPM. Unidade: IME

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

    Versão PublicadaAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MATTEI, Lilith et al. Exploring the space of probabilistic sentential decision diagrams. 2019, Anais.. San Diego: International Conference on Machine Learning, 2019. Disponível em: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view. Acesso em: 12 maio 2024.
    • APA

      Mattei, L., Soares, D. L., Antonucci, A., Mauá, D. D., & Facchini, A. (2019). Exploring the space of probabilistic sentential decision diagrams. In Proceedings of Machine Learning Research - PMLR. San Diego: International Conference on Machine Learning. Recuperado de https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view
    • NLM

      Mattei L, Soares DL, Antonucci A, Mauá DD, Facchini A. Exploring the space of probabilistic sentential decision diagrams [Internet]. Proceedings of Machine Learning Research - PMLR. 2019 ;[citado 2024 maio 12 ] Available from: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view
    • Vancouver

      Mattei L, Soares DL, Antonucci A, Mauá DD, Facchini A. Exploring the space of probabilistic sentential decision diagrams [Internet]. Proceedings of Machine Learning Research - PMLR. 2019 ;[citado 2024 maio 12 ] Available from: https://drive.google.com/file/d/1PkckPpeLUOP_Oeik_q4MprD6ZJeekqHZ/view

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