ReP USP - Resultado da busca

Artigo de periodico
The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws (2019)
Cozman, Fabio Gagliardi ; Mauá, Denis Deratani
Fonte: International Journal of Approximate Reasoning. Unidades: EP, IME
Assuntos: TEORIA DA COMPUTAÇÃO, TEORIA DOS MODELOS, AQUISIÇÃO DE CONHECIMENTO, LÓGICA MATEMÁTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COZMAN, Fabio Gagliardi e MAUÁ, Denis Deratani. The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. International Journal of Approximate Reasoning, v. 110, p. 107-126, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2019.04.003. Acesso em: 09 nov. 2025.
APA
Cozman, F. G., & Mauá, D. D. (2019). The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws. International Journal of Approximate Reasoning, 110, 107-126. doi:10.1016/j.ijar.2019.04.003
NLM
Cozman FG, Mauá DD. The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws [Internet]. International Journal of Approximate Reasoning. 2019 ; 110 107-126.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2019.04.003
Vancouver
Cozman FG, Mauá DD. The finite model theory of Bayesian network specifications: Descriptive complexity and zero/one laws [Internet]. International Journal of Approximate Reasoning. 2019 ; 110 107-126.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2019.04.003
Artigo de periodico
Robust topological policy iteration for infinite horizon bounded Markov decision processes (2019)
Reis, Willy Arthur Silva; Barros, Leliane Nunes de ; Delgado, Karina Valdivia
Fonte: International Journal of Approximate Reasoning. Unidades: IME, EACH
Assuntos: PROCESSOS DE MARKOV, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
REIS, Willy Arthur Silva e BARROS, Leliane Nunes de e DELGADO, Karina Valdivia. Robust topological policy iteration for infinite horizon bounded Markov decision processes. International Journal of Approximate Reasoning, v. 105, p. 287-304, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2018.12.004. Acesso em: 09 nov. 2025.
APA
Reis, W. A. S., Barros, L. N. de, & Delgado, K. V. (2019). Robust topological policy iteration for infinite horizon bounded Markov decision processes. International Journal of Approximate Reasoning, 105, 287-304. doi:10.1016/j.ijar.2018.12.004
NLM
Reis WAS, Barros LN de, Delgado KV. Robust topological policy iteration for infinite horizon bounded Markov decision processes [Internet]. International Journal of Approximate Reasoning. 2019 ; 105 287-304.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.12.004
Vancouver
Reis WAS, Barros LN de, Delgado KV. Robust topological policy iteration for infinite horizon bounded Markov decision processes [Internet]. International Journal of Approximate Reasoning. 2019 ; 105 287-304.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.12.004
Artigo de periodico
Speeding up parameter and rule learning for acyclic probabilistic logic programs (2019)
Faria, Francisco Henrique Otte Vieira de ; Gusmão, Arthur Colombini ; De Bona, Glauber ; Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Fonte: International Journal of Approximate Reasoning. Unidades: EP, IME
Assuntos: PROGRAMAÇÃO LÓGICA, APRENDIZADO COMPUTACIONAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
FARIA, Francisco Henrique Otte Vieira de et al. Speeding up parameter and rule learning for acyclic probabilistic logic programs. International Journal of Approximate Reasoning, v. 106, p. 32-50, 2019Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2018.12.012. Acesso em: 09 nov. 2025.
APA
Faria, F. H. O. V. de, Gusmão, A. C., De Bona, G., Mauá, D. D., & Cozman, F. G. (2019). Speeding up parameter and rule learning for acyclic probabilistic logic programs. International Journal of Approximate Reasoning, 106, 32-50. doi:10.1016/j.ijar.2018.12.012
NLM
Faria FHOV de, Gusmão AC, De Bona G, Mauá DD, Cozman FG. Speeding up parameter and rule learning for acyclic probabilistic logic programs [Internet]. International Journal of Approximate Reasoning. 2019 ; 106 32-50.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.12.012
Vancouver
Faria FHOV de, Gusmão AC, De Bona G, Mauá DD, Cozman FG. Speeding up parameter and rule learning for acyclic probabilistic logic programs [Internet]. International Journal of Approximate Reasoning. 2019 ; 106 32-50.[citado 2025 nov. 09 ] Available from: https://doi.org/10.1016/j.ijar.2018.12.012

Unidades USP

ReP

Filtros

Autores

Assuntos