Two reformulation approaches to maximum-a-posteriori inference in sum-product networks (2020)
Source: Proceedings of Machine Learning Research. Conference titles: International Conference on Probabilistic Graphical Models. Unidade: IME
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, PROGRAMAÇÃO LINEAR
ABNT
MAUÁ, Denis Deratani et al. Two reformulation approaches to maximum-a-posteriori inference in sum-product networks. Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://proceedings.mlr.press/v138/maua20a/maua20a.pdf. Acesso em: 13 set. 2024. , 2020APA
Mauá, D. D., Ribeiro, H. R., Katague, G. P., & Antonucci, A. (2020). Two reformulation approaches to maximum-a-posteriori inference in sum-product networks. Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://proceedings.mlr.press/v138/maua20a/maua20a.pdfNLM
Mauá DD, Ribeiro HR, Katague GP, Antonucci A. Two reformulation approaches to maximum-a-posteriori inference in sum-product networks [Internet]. Proceedings of Machine Learning Research. 2020 ; 138 293-304.[citado 2024 set. 13 ] Available from: https://proceedings.mlr.press/v138/maua20a/maua20a.pdfVancouver
Mauá DD, Ribeiro HR, Katague GP, Antonucci A. Two reformulation approaches to maximum-a-posteriori inference in sum-product networks [Internet]. Proceedings of Machine Learning Research. 2020 ; 138 293-304.[citado 2024 set. 13 ] Available from: https://proceedings.mlr.press/v138/maua20a/maua20a.pdf