Geh, Renato Lui 
; Mauá, Denis Deratani
Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RACIOCÍNIO PROBABILÍSTICO
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GEH, Renato Lui e MAUÁ, Denis Deratani. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. Proceedings of Machine Learning Research : PMLR. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf. Acesso em: 14 nov. 2024. , 2021APA
Geh, R. L., & Mauá, D. D. (2021). Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. Proceedings of Machine Learning Research : PMLR. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdfNLM
Geh RL, Mauá DD. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging [Internet]. Proceedings of Machine Learning Research : PMLR. 2021 ; 161 2039-2049.[citado 2024 nov. 14 ] Available from: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdfVancouver
Geh RL, Mauá DD. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging [Internet]. Proceedings of Machine Learning Research : PMLR. 2021 ; 161 2039-2049.[citado 2024 nov. 14 ] Available from: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
