Dynamic bayesian network modeling, learning, and inference: a survey (2021)
Source: IEEE Access. Unidade: ICMC
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, REVISÃO SISTEMÁTICA
ABNT
SHIGUIHARA PEDRO, e LOPES, Alneu de Andrade e MAURICIO, David. Dynamic bayesian network modeling, learning, and inference: a survey. IEEE Access, v. 9, p. 117639-117648, 2021Tradução . . Disponível em: https://doi.org/10.1109/ACCESS.2021.3105520. Acesso em: 09 out. 2024.APA
Shiguihara Pedro,, Lopes, A. de A., & Mauricio, D. (2021). Dynamic bayesian network modeling, learning, and inference: a survey. IEEE Access, 9, 117639-117648. doi:10.1109/ACCESS.2021.3105520NLM
Shiguihara Pedro, Lopes A de A, Mauricio D. Dynamic bayesian network modeling, learning, and inference: a survey [Internet]. IEEE Access. 2021 ; 9 117639-117648.[citado 2024 out. 09 ] Available from: https://doi.org/10.1109/ACCESS.2021.3105520Vancouver
Shiguihara Pedro, Lopes A de A, Mauricio D. Dynamic bayesian network modeling, learning, and inference: a survey [Internet]. IEEE Access. 2021 ; 9 117639-117648.[citado 2024 out. 09 ] Available from: https://doi.org/10.1109/ACCESS.2021.3105520