Efficient predictive uncertainty estimators for deep probabilistic models (2020)
Fonte: Proceddings : AAAI-20 Student Tracks. Nome do evento: AAAI Conference on Artificial Intelligence - AAAI. Unidade: IME
Assunto: MODELOS PARA PROCESSOS ESTOCÁSTICOS
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: 14 jun. 2024. , 2020APA
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.v34i10.7142NLM
Llerena JV, Mauá DD. Efficient predictive uncertainty estimators for deep probabilistic models [Internet]. Proceddings : AAAI-20 Student Tracks. 2020 ; 35( 100): 13740-13741.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1609/aaai.v34i10.7142Vancouver
Llerena JV, Mauá DD. Efficient predictive uncertainty estimators for deep probabilistic models [Internet]. Proceddings : AAAI-20 Student Tracks. 2020 ; 35( 100): 13740-13741.[citado 2024 jun. 14 ] Available from: https://doi.org/10.1609/aaai.v34i10.7142