Filtros : "MODELOS PARA PROCESSOS ESTOCÁSTICOS" "AAAI Conference on Artificial Intelligence - AAAI" Limpar


  • Source: Proceddings : AAAI-20 Student Tracks. Conference titles: AAAI Conference on Artificial Intelligence - AAAI. Unidade: IME

    Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS

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    • ABNT

      LLERENA, Julissa Villanueva e MAUÁ, Denis Deratani. Efficient predictive uncertainty estimators for deep probabilistic models. Proceddings : AAAI-20 Student Tracks. Palo Alto: AAAI Press. Disponível em: https://doi.org/10.1609/aaai.v34i10.7142. Acesso em: 10 nov. 2025. , 2020
    • APA

      Llerena, J. V., & Mauá, D. D. (2020). Efficient predictive uncertainty estimators for deep probabilistic models. Proceddings : AAAI-20 Student Tracks. Palo Alto: AAAI Press. doi:10.1609/aaai.v34i10.7142
    • NLM

      Llerena JV, Mauá DD. Efficient predictive uncertainty estimators for deep probabilistic models [Internet]. Proceddings : AAAI-20 Student Tracks. 2020 ; 35( 100): 13740-13741.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1609/aaai.v34i10.7142
    • Vancouver

      Llerena JV, Mauá DD. Efficient predictive uncertainty estimators for deep probabilistic models [Internet]. Proceddings : AAAI-20 Student Tracks. 2020 ; 35( 100): 13740-13741.[citado 2025 nov. 10 ] Available from: https://doi.org/10.1609/aaai.v34i10.7142

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