Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams (2016)
- Autor:
- Autor USP: MAUÁ, DENIS DERATANI - IME
- Unidade: IME
- DOI: 10.1016/j.ijar.2015.03.007
- Subjects: INTELIGÊNCIA ARTIFICIAL; PROBABILIDADE APLICADA; RACIOCÍNIO PROBABILÍSTICO
- Language: Inglês
- Imprenta:
- Source:
- Título: International Journal of Approximate Reasoning
- ISSN: 1873-4731
- Volume/Número/Paginação/Ano: v. 68, p. 211-229, Jan. 2016
- Status:
- Artigo possui versão em acesso aberto em repositório (Green Open Access)
- Versão do Documento:
- Versão submetida (Pré-print)
- Acessar versão aberta:
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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: 18 mar. 2026. -
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.2015.03.007 -
NLM
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 2026 mar. 18 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007 -
Vancouver
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 2026 mar. 18 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007 - International Journal of Approximate Reasoning
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