ReP USP - Resultado da busca

Artigo de periodico
Learning and total evidence with imprecise probabilities (2022)
Gong, Ruobin ; Kadane, Joseph B. ; Schervish, Mark J. ; Seidenfeld, Teddy ; Stern, Rafael Bassi
Source: International Journal of Approximate Reasoning. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, ENGENHARIA DE SOFTWARE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
GONG, Ruobin et al. Learning and total evidence with imprecise probabilities. International Journal of Approximate Reasoning, v. 151, p. 21-32, 2022Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2022.08.016. Acesso em: 21 out. 2024.
APA
Gong, R., Kadane, J. B., Schervish, M. J., Seidenfeld, T., & Stern, R. B. (2022). Learning and total evidence with imprecise probabilities. International Journal of Approximate Reasoning, 151, 21-32. doi:10.1016/j.ijar.2022.08.016
NLM
Gong R, Kadane JB, Schervish MJ, Seidenfeld T, Stern RB. Learning and total evidence with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2022 ; 151 21-32.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2022.08.016
Vancouver
Gong R, Kadane JB, Schervish MJ, Seidenfeld T, Stern RB. Learning and total evidence with imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2022 ; 151 21-32.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2022.08.016
Artigo de periodico
Robustifying sum-product networks (2018)
Mauá, Denis Deratani ; Conaty, Diarmaid; Cozman, Fabio Gagliardi ; Poppenhaeger, Katja; Campos, Cassio Polpo de
Source: International Journal of Approximate Reasoning. Unidades: IME, EP
Subjects: INTELIGÊNCIA ARTIFICIAL, MODELOS PARA PROCESSOS ESTOCÁSTICOS
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ABNT
MAUÁ, Denis Deratani et al. Robustifying sum-product networks. International Journal of Approximate Reasoning, v. 101, p. 163-180, 2018Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2018.07.003. Acesso em: 21 out. 2024.
APA
Mauá, D. D., Conaty, D., Cozman, F. G., Poppenhaeger, K., & Campos, C. P. de. (2018). Robustifying sum-product networks. International Journal of Approximate Reasoning, 101, 163-180. doi:10.1016/j.ijar.2018.07.003
NLM
Mauá DD, Conaty D, Cozman FG, Poppenhaeger K, Campos CP de. Robustifying sum-product networks [Internet]. International Journal of Approximate Reasoning. 2018 ; 101 163-180.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2018.07.003
Vancouver
Mauá DD, Conaty D, Cozman FG, Poppenhaeger K, Campos CP de. Robustifying sum-product networks [Internet]. International Journal of Approximate Reasoning. 2018 ; 101 163-180.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2018.07.003
Artigo de periodico-carta/editorial
Advances in weighted logics for artificial intelligence. [Editorial] (2017)
Finger, Marcelo ; Godo, Lluis ; Prade, Henri ; Qi, Guilin
Source: International Journal of Approximate Reasoning. Unidade: IME
Assunto: INTELIGÊNCIA ARTIFICIAL
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ABNT
FINGER, Marcelo et al. Advances in weighted logics for artificial intelligence. [Editorial]. International Journal of Approximate Reasoning. Philadelphia: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.ijar.2017.06.014. Acesso em: 21 out. 2024. , 2017
APA
Finger, M., Godo, L., Prade, H., & Qi, G. (2017). Advances in weighted logics for artificial intelligence. [Editorial]. International Journal of Approximate Reasoning. Philadelphia: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.ijar.2017.06.014
NLM
Finger M, Godo L, Prade H, Qi G. Advances in weighted logics for artificial intelligence. [Editorial] [Internet]. International Journal of Approximate Reasoning. 2017 ; 88 385-386.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2017.06.014
Vancouver
Finger M, Godo L, Prade H, Qi G. Advances in weighted logics for artificial intelligence. [Editorial] [Internet]. International Journal of Approximate Reasoning. 2017 ; 88 385-386.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2017.06.014
Artigo de periodico
Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams (2016)
Mauá, Denis Deratani
Source: International Journal of Approximate Reasoning. Unidade: IME
Subjects: INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA, RACIOCÍNIO PROBABILÍSTICO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. International Journal of Approximate Reasoning, v. 68, n. Ja 2016, p. 211-229, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2015.03.007. Acesso em: 21 out. 2024.
APA
Mauá, D. D. (2016). Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams. International Journal of Approximate Reasoning, 68( Ja 2016), 211-229. doi:10.1016/j.ijar.2015.03.007
NLM
Mauá DD. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 211-229.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007
Vancouver
Mauá DD. Equivalences between maximum a posteriori inference in Bayesian networks and maximum expected utility computation in influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 211-229.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007
Artigo de periodico
Fast local search methods for solving limited memory influence diagrams (2016)
Mauá, Denis Deratani ; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidades: IME, EP
Subjects: MODELOS PARA PROCESSOS ESTOCÁSTICOS, INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MAUÁ, Denis Deratani e COZMAN, Fabio Gagliardi. Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, v. 68, n. Ja 2016, p. 230-245, 2016Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2015.05.003. Acesso em: 21 out. 2024.
APA
Mauá, D. D., & Cozman, F. G. (2016). Fast local search methods for solving limited memory influence diagrams. International Journal of Approximate Reasoning, 68( Ja 2016), 230-245. doi:10.1016/j.ijar.2015.05.003
NLM
Mauá DD, Cozman FG. Fast local search methods for solving limited memory influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 230-245.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2015.05.003
Vancouver
Mauá DD, Cozman FG. Fast local search methods for solving limited memory influence diagrams [Internet]. International Journal of Approximate Reasoning. 2016 ; 68( Ja 2016): 230-245.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2015.05.003
Artigo de periodico
Learning imprecise probability models: conceptual and practical challenges (2014)
Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: PROBABILIDADE, INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COZMAN, Fabio Gagliardi. Learning imprecise probability models: conceptual and practical challenges. International Journal of Approximate Reasoning, v. 55, n. 7, p. 1594-1596, 2014Tradução . . Disponível em: http://www.sciencedirect.com/science/article/pii/S0888613X14000772#. Acesso em: 21 out. 2024.
APA
Cozman, F. G. (2014). Learning imprecise probability models: conceptual and practical challenges. International Journal of Approximate Reasoning, 55( 7), 1594-1596. doi:10.1016/j.ijar.2013.09.019
NLM
Cozman FG. Learning imprecise probability models: conceptual and practical challenges [Internet]. International Journal of Approximate Reasoning. 2014 ; 55( 7): 1594-1596.[citado 2024 out. 21 ] Available from: http://www.sciencedirect.com/science/article/pii/S0888613X14000772#
Vancouver
Cozman FG. Learning imprecise probability models: conceptual and practical challenges [Internet]. International Journal of Approximate Reasoning. 2014 ; 55( 7): 1594-1596.[citado 2024 out. 21 ] Available from: http://www.sciencedirect.com/science/article/pii/S0888613X14000772#
Artigo de periodico
Approximate algorithms for credal networks with binary variables (2008)
Ide, Jaime Shinsuke; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: ALGORITMOS, REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
IDE, Jaime Shinsuke e COZMAN, Fabio Gagliardi. Approximate algorithms for credal networks with binary variables. International Journal of Approximate Reasoning, v. 48, n. 1, p. 275-296, 2008Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2007.09.003. Acesso em: 21 out. 2024.
APA
Ide, J. S., & Cozman, F. G. (2008). Approximate algorithms for credal networks with binary variables. International Journal of Approximate Reasoning, 48( 1), 275-296. doi:10.1016/j.ijar.2007.09.003
NLM
Ide JS, Cozman FG. Approximate algorithms for credal networks with binary variables [Internet]. International Journal of Approximate Reasoning. 2008 ; 48( 1): 275-296.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2007.09.003
Vancouver
Ide JS, Cozman FG. Approximate algorithms for credal networks with binary variables [Internet]. International Journal of Approximate Reasoning. 2008 ; 48( 1): 275-296.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2007.09.003
Artigo de periodico
Reasonig with imprecise probabilities (Special issue) [Editor convidado] (2007)
Cano, Andrés; Cozman, Fabio Gagliardi ; Lukasiewicz, Thomas
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, LÓGICA MATEMÁTICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
CANO, Andrés e COZMAN, Fabio Gagliardi e LUKASIEWICZ, Thomas. Reasonig with imprecise probabilities (Special issue) [Editor convidado]. International Journal of Approximate Reasoning, v. 44, n. 3, p. 197-199, 2007Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/4d8c9a09-ec2d-48e3-849c-e8dba25cf136/Cozman-2007-reasoning%20with%20imprecise%20probabilities.pdf. Acesso em: 21 out. 2024.
APA
Cano, A., Cozman, F. G., & Lukasiewicz, T. (2007). Reasonig with imprecise probabilities (Special issue) [Editor convidado]. International Journal of Approximate Reasoning, 44( 3), 197-199. Recuperado de https://repositorio.usp.br/directbitstream/4d8c9a09-ec2d-48e3-849c-e8dba25cf136/Cozman-2007-reasoning%20with%20imprecise%20probabilities.pdf
NLM
Cano A, Cozman FG, Lukasiewicz T. Reasonig with imprecise probabilities (Special issue) [Editor convidado] [Internet]. International Journal of Approximate Reasoning. 2007 ; 44( 3): 197-199.[citado 2024 out. 21 ] Available from: https://repositorio.usp.br/directbitstream/4d8c9a09-ec2d-48e3-849c-e8dba25cf136/Cozman-2007-reasoning%20with%20imprecise%20probabilities.pdf
Vancouver
Cano A, Cozman FG, Lukasiewicz T. Reasonig with imprecise probabilities (Special issue) [Editor convidado] [Internet]. International Journal of Approximate Reasoning. 2007 ; 44( 3): 197-199.[citado 2024 out. 21 ] Available from: https://repositorio.usp.br/directbitstream/4d8c9a09-ec2d-48e3-849c-e8dba25cf136/Cozman-2007-reasoning%20with%20imprecise%20probabilities.pdf
Artigo de periodico
Notes on "notes on conditional previsions" (2007)
Vicig, Paolo; Zaffalon, Marco; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, LÓGICA MATEMÁTICA, PROBABILIDADE
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
VICIG, Paolo e ZAFFALON, Marco e COZMAN, Fabio Gagliardi. Notes on "notes on conditional previsions". International Journal of Approximate Reasoning, v. 44, n. 3, p. 358-365, 2007Tradução . . Disponível em: https://repositorio.usp.br/directbitstream/d139b8f0-fbe6-4011-bb5a-cfce2aa4f0bb/Cozman-2007-Notes%20on%20-%20notes%20on%20conditional%20previsions.pdf. Acesso em: 21 out. 2024.
APA
Vicig, P., Zaffalon, M., & Cozman, F. G. (2007). Notes on "notes on conditional previsions". International Journal of Approximate Reasoning, 44( 3), 358-365. Recuperado de https://repositorio.usp.br/directbitstream/d139b8f0-fbe6-4011-bb5a-cfce2aa4f0bb/Cozman-2007-Notes%20on%20-%20notes%20on%20conditional%20previsions.pdf
NLM
Vicig P, Zaffalon M, Cozman FG. Notes on "notes on conditional previsions" [Internet]. International Journal of Approximate Reasoning. 2007 ; 44( 3): 358-365.[citado 2024 out. 21 ] Available from: https://repositorio.usp.br/directbitstream/d139b8f0-fbe6-4011-bb5a-cfce2aa4f0bb/Cozman-2007-Notes%20on%20-%20notes%20on%20conditional%20previsions.pdf
Vancouver
Vicig P, Zaffalon M, Cozman FG. Notes on "notes on conditional previsions" [Internet]. International Journal of Approximate Reasoning. 2007 ; 44( 3): 358-365.[citado 2024 out. 21 ] Available from: https://repositorio.usp.br/directbitstream/d139b8f0-fbe6-4011-bb5a-cfce2aa4f0bb/Cozman-2007-Notes%20on%20-%20notes%20on%20conditional%20previsions.pdf
Artigo de periodico
Anytime anyspace probabilistic inference (2005)
Ramos, Fabio Tozeto; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
RAMOS, Fabio Tozeto e COZMAN, Fabio Gagliardi. Anytime anyspace probabilistic inference. International Journal of Approximate Reasoning, v. 38, n. ja, p. 53-80, 2005Tradução . . Disponível em: https://doi.org/10.1016/s0888-613x(04)00047-7. Acesso em: 21 out. 2024.
APA
Ramos, F. T., & Cozman, F. G. (2005). Anytime anyspace probabilistic inference. International Journal of Approximate Reasoning, 38( ja), 53-80. doi:10.1016/s0888-613x(04)00047-7
NLM
Ramos FT, Cozman FG. Anytime anyspace probabilistic inference [Internet]. International Journal of Approximate Reasoning. 2005 ;38( ja): 53-80.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/s0888-613x(04)00047-7
Vancouver
Ramos FT, Cozman FG. Anytime anyspace probabilistic inference [Internet]. International Journal of Approximate Reasoning. 2005 ;38( ja): 53-80.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/s0888-613x(04)00047-7
Artigo de periodico
Inference in credal networks: branch-and-bound methods and the A/R+ algorithm (2005)
Rocha, José Carlos Ferreira da; Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: INFERÊNCIA BAYESIANA, INTELIGÊNCIA ARTIFICIAL, MÉTODOS GRÁFICOS, REDES NEURAIS, PROBABILIDADE, MODELOS MATEMÁTICOS, ALGORITMOS
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
ROCHA, José Carlos Ferreira da e COZMAN, Fabio Gagliardi. Inference in credal networks: branch-and-bound methods and the A/R+ algorithm. International Journal of Approximate Reasoning, v. 39, n. 2-3, p. 279-296, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2004.10.009. Acesso em: 21 out. 2024.
APA
Rocha, J. C. F. da, & Cozman, F. G. (2005). Inference in credal networks: branch-and-bound methods and the A/R+ algorithm. International Journal of Approximate Reasoning, 39( 2-3), 279-296. doi:10.1016/j.ijar.2004.10.009
NLM
Rocha JCF da, Cozman FG. Inference in credal networks: branch-and-bound methods and the A/R+ algorithm [Internet]. International Journal of Approximate Reasoning. 2005 ; 39( 2-3): 279-296.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2004.10.009
Vancouver
Rocha JCF da, Cozman FG. Inference in credal networks: branch-and-bound methods and the A/R+ algorithm [Internet]. International Journal of Approximate Reasoning. 2005 ; 39( 2-3): 279-296.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2004.10.009
Artigo de periodico
Graphical models for imprecise probabilities (2005)
Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: REDES NEURAIS, INTELIGÊNCIA ARTIFICIAL, MÉTODOS GRÁFICOS, PROBABILIDADE, MODELOS MATEMÁTICOS, RESOLUÇÃO DE PROBLEMAS, TEORIA DA DECISÃO
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COZMAN, Fabio Gagliardi. Graphical models for imprecise probabilities. International Journal of Approximate Reasoning, v. 39, n. 2-3, p. 167-184, 2005Tradução . . Disponível em: https://doi.org/10.1016/j.ijar.2004.10.003. Acesso em: 21 out. 2024.
APA
Cozman, F. G. (2005). Graphical models for imprecise probabilities. International Journal of Approximate Reasoning, 39( 2-3), 167-184. doi:10.1016/j.ijar.2004.10.003
NLM
Cozman FG. Graphical models for imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2005 ; 39( 2-3): 167-184.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2004.10.003
Vancouver
Cozman FG. Graphical models for imprecise probabilities [Internet]. International Journal of Approximate Reasoning. 2005 ; 39( 2-3): 167-184.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/j.ijar.2004.10.003
Artigo de periodico
Computing posterior upper expectations (2000)
Cozman, Fabio Gagliardi
Source: International Journal of Approximate Reasoning. Unidade: EP
Subjects: INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE E ESTATISTICA, LÓGICA, ROBÓTICA
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
COZMAN, Fabio Gagliardi. Computing posterior upper expectations. International Journal of Approximate Reasoning, v. 24, n. 2-3, p. 191-205, 2000Tradução . . Disponível em: https://doi.org/10.1016/s0888-613x(00)00034-7. Acesso em: 21 out. 2024.
APA
Cozman, F. G. (2000). Computing posterior upper expectations. International Journal of Approximate Reasoning, 24( 2-3), 191-205. doi:10.1016/s0888-613x(00)00034-7
NLM
Cozman FG. Computing posterior upper expectations [Internet]. International Journal of Approximate Reasoning. 2000 ; 24( 2-3): 191-205.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/s0888-613x(00)00034-7
Vancouver
Cozman FG. Computing posterior upper expectations [Internet]. International Journal of Approximate Reasoning. 2000 ; 24( 2-3): 191-205.[citado 2024 out. 21 ] Available from: https://doi.org/10.1016/s0888-613x(00)00034-7

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