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Trabalho de evento-anais periodico
Credal sum-product networks (2017)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi ; Conaty, Diarmaid
Source: PMLR: Proceedings of Machine Learning Research. Conference titles: International Symposium on Imprecise Probability: Theories and Applications - ISIPTA. Unidades: IME, EP
Subjects: INTELIGÊNCIA ARTIFICIAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi e CONATY, Diarmaid. Credal sum-product networks. PMLR: Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: http://proceedings.mlr.press/v62/mau*C3*A117a.html. Acesso em: 04 nov. 2024. , 2017
APA
Mauá, D. D., Cozman, F. G., & Conaty, D. (2017). Credal sum-product networks. PMLR: Proceedings of Machine Learning Research. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de http://proceedings.mlr.press/v62/mau*C3*A117a.html
NLM
Mauá DD, Cozman FG, Conaty D. Credal sum-product networks [Internet]. PMLR: Proceedings of Machine Learning Research. 2017 ;( 62): 205-216.[citado 2024 nov. 04 ] Available from: http://proceedings.mlr.press/v62/mau*C3*A117a.html
Vancouver
Mauá DD, Cozman FG, Conaty D. Credal sum-product networks [Internet]. PMLR: Proceedings of Machine Learning Research. 2017 ;( 62): 205-216.[citado 2024 nov. 04 ] Available from: http://proceedings.mlr.press/v62/mau*C3*A117a.html
Trabalho de evento
Approximation complexity of maximum a posteriori inference in sum-product networks (2017)
Conaty, Diarmaid; Mauá, Denis Deratani ; Campos, Cassio P. de
Source: Proceedings. Conference titles: Conference on Uncertainty in Artificial Intelligence. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CONATY, Diarmaid e MAUÁ, Denis Deratani e CAMPOS, Cassio P. de. Approximation complexity of maximum a posteriori inference in sum-product networks. 2017, Anais.. Corvallis: AUAI Press, 2017. Disponível em: http://auai.org/uai2017/proceedings/papers/109.pdf. Acesso em: 04 nov. 2024.
APA
Conaty, D., Mauá, D. D., & Campos, C. P. de. (2017). Approximation complexity of maximum a posteriori inference in sum-product networks. In Proceedings. Corvallis: AUAI Press. Recuperado de http://auai.org/uai2017/proceedings/papers/109.pdf
NLM
Conaty D, Mauá DD, Campos CP de. Approximation complexity of maximum a posteriori inference in sum-product networks [Internet]. Proceedings. 2017 ;[citado 2024 nov. 04 ] Available from: http://auai.org/uai2017/proceedings/papers/109.pdf
Vancouver
Conaty D, Mauá DD, Campos CP de. Approximation complexity of maximum a posteriori inference in sum-product networks [Internet]. Proceedings. 2017 ;[citado 2024 nov. 04 ] Available from: http://auai.org/uai2017/proceedings/papers/109.pdf
Trabalho de evento
Early classification of time series by Hidden Markov Models with set-valued parameters (2015)
Antonucci, Alessandro; Mauá, Denis Deratani ; Scanagatta, Mauro; Campos, Cassio Polpo de
Source: Proceedings. Conference titles: NIPS Time Series Workshop 2015. Unidade: IME
Subjects: ANÁLISE DE SÉRIES TEMPORAIS, PROCESSOS DE MARKOV
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ANTONUCCI, Alessandro et al. Early classification of time series by Hidden Markov Models with set-valued parameters. 2015, Anais.. Montreal: NIPS Foundation, 2015. Disponível em: https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view. Acesso em: 04 nov. 2024.
APA
Antonucci, A., Mauá, D. D., Scanagatta, M., & Campos, C. P. de. (2015). Early classification of time series by Hidden Markov Models with set-valued parameters. In Proceedings. Montreal: NIPS Foundation. Recuperado de https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view
NLM
Antonucci A, Mauá DD, Scanagatta M, Campos CP de. Early classification of time series by Hidden Markov Models with set-valued parameters [Internet]. Proceedings. 2015 ;[citado 2024 nov. 04 ] Available from: https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view
Vancouver
Antonucci A, Mauá DD, Scanagatta M, Campos CP de. Early classification of time series by Hidden Markov Models with set-valued parameters [Internet]. Proceedings. 2015 ;[citado 2024 nov. 04 ] Available from: https://drive.google.com/file/d/0Bx7depbNYaFIdjhPNEtsN1pDa2RBWVhPUmxYMURNdmp5a05n/view

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