Source: International Journal of Approximate Reasoning. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA, RACIOCÍNIO PROBABILÍSTICO
ABNT
MAUÁ, Denis Deratani. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. International Journal of Approximate Reasoning, v. 68, n. Ja 2016, p. 211-229, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2015.03.007. Acesso em: 11 out. 2024.APA
Mauá, D. D. (2016). Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. International Journal of Approximate Reasoning, 68( Ja 2016), 211-229. doi:10.1016/j.ijar.2015.03.007NLM
Mauá DD. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 211-229.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007Vancouver
Mauá DD. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 211-229.[citado 2024 out. 11 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007