The effect of combination functions on the complexity of relational Bayesian networks (2016)
Source: Journal of Machine Learning Research. Conference titles: International Conference on Probabilistic Graphical Models - PMLR. Unidades: EP, IME
Subjects: INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. The effect of combination functions on the complexity of relational Bayesian networks. Journal of Machine Learning Research. Brookline: Escola Politécnica, Universidade de São Paulo. Disponível em: http://proceedings.mlr.press/v52/maua16.pdf. Acesso em: 25 set. 2024. , 2016APA
Mauá, D. D., & Cozman, F. G. (2016). The effect of combination functions on the complexity of relational Bayesian networks. Journal of Machine Learning Research. Brookline: Escola Politécnica, Universidade de São Paulo. Recuperado de http://proceedings.mlr.press/v52/maua16.pdfNLM
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. Journal of Machine Learning Research. 2016 ;( 52): 333-344.[citado 2024 set. 25 ] Available from: http://proceedings.mlr.press/v52/maua16.pdfVancouver
Mauá DD, Cozman FG. The effect of combination functions on the complexity of relational Bayesian networks [Internet]. Journal of Machine Learning Research. 2016 ;( 52): 333-344.[citado 2024 set. 25 ] Available from: http://proceedings.mlr.press/v52/maua16.pdf