Filtros : "RACIOCÍNIO PROBABILÍSTICO" Limpar

Filtros



Refine with date range


  • Source: Proceedings of Machine Learning Research : PMLR. Conference titles: Conference on Uncertainty in Artificial Intelligence - UAI. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RACIOCÍNIO PROBABILÍSTICO

    Versão PublicadaAcesso à fonteAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GEH, Renato Lui e MAUÁ, Denis Deratani. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. Proceedings of Machine Learning Research : PMLR. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf. Acesso em: 27 abr. 2024. , 2021
    • APA

      Geh, R. L., & Mauá, D. D. (2021). Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging. Proceedings of Machine Learning Research : PMLR. Brookline: Instituto de Matemática e Estatística, Universidade de São Paulo. Recuperado de https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
    • NLM

      Geh RL, Mauá DD. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging [Internet]. Proceedings of Machine Learning Research : PMLR. 2021 ; 161 2039-2049.[citado 2024 abr. 27 ] Available from: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
    • Vancouver

      Geh RL, Mauá DD. Learning probabilistic sentential decision diagrams under logic constraints by sampling and averaging [Internet]. Proceedings of Machine Learning Research : PMLR. 2021 ; 161 2039-2049.[citado 2024 abr. 27 ] Available from: https://proceedings.mlr.press/v161/geh21a/geh21a-supp.pdf
  • Source: Journal of Automated Reasoning. Conference titles: Joint Conference on Automated Reasoning - IJCAR. Unidade: IME

    Subjects: RACIOCÍNIO PROBABILÍSTICO, LÓGICA

    Versão AceitaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FINGER, Marcelo e PRETO, Sandro. Probably partially true: satisfiability for Łukasiewicz infinitely-valued probabilistic logic and related topics. Journal of Automated Reasoning. Dordreccht: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1007/s10817-020-09558-9. Acesso em: 27 abr. 2024. , 2020
    • APA

      Finger, M., & Preto, S. (2020). Probably partially true: satisfiability for Łukasiewicz infinitely-valued probabilistic logic and related topics. Journal of Automated Reasoning. Dordreccht: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1007/s10817-020-09558-9
    • NLM

      Finger M, Preto S. Probably partially true: satisfiability for Łukasiewicz infinitely-valued probabilistic logic and related topics [Internet]. Journal of Automated Reasoning. 2020 ; 64( 7): 1269-1286.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/s10817-020-09558-9
    • Vancouver

      Finger M, Preto S. Probably partially true: satisfiability for Łukasiewicz infinitely-valued probabilistic logic and related topics [Internet]. Journal of Automated Reasoning. 2020 ; 64( 7): 1269-1286.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/s10817-020-09558-9
  • Source: Proceedings. Conference titles: Symposium on Knowledge Discovery, Mining and Learning - KDMiLe. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, APRENDIZADO COMPUTACIONAL, RACIOCÍNIO PROBABILÍSTICO

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      GEH, Renato Lui e MAUÁ, Denis Deratani e ANTONUCCI, Alessandro. Learning probabilistic sentential decision diagrams by sampling. 2020, Anais.. Porto Alegre: SBC, 2020. Disponível em: https://doi.org/10.5753/kdmile.2020.11968. Acesso em: 27 abr. 2024.
    • APA

      Geh, R. L., Mauá, D. D., & Antonucci, A. (2020). Learning probabilistic sentential decision diagrams by sampling. In Proceedings. Porto Alegre: SBC. doi:10.5753/kdmile.2020.11968
    • NLM

      Geh RL, Mauá DD, Antonucci A. Learning probabilistic sentential decision diagrams by sampling [Internet]. Proceedings. 2020 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.5753/kdmile.2020.11968
    • Vancouver

      Geh RL, Mauá DD, Antonucci A. Learning probabilistic sentential decision diagrams by sampling [Internet]. Proceedings. 2020 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.5753/kdmile.2020.11968
  • Source: Proceedings of Machine Learning Research : PMLR. Conference titles: International Symposium on Imprecise Probabilities: Theories and Applications - ISIPTA. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO

    PrivadoAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      VILLANUEVA LLERENA, Julissa Giuliana e MAUÁ, Denis Deratani. Robust analysis of MAP inference in selective sum-product nNetworks. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Disponível em: http://proceedings.mlr.press/v103/villanueva-llerena19a/villanueva-llerena19a.pdf. Acesso em: 27 abr. 2024. , 2019
    • APA

      Villanueva Llerena, J. G., & Mauá, D. D. (2019). Robust analysis of MAP inference in selective sum-product nNetworks. Proceedings of Machine Learning Research : PMLR. Brookline: Microtome Publishing. Recuperado de http://proceedings.mlr.press/v103/villanueva-llerena19a/villanueva-llerena19a.pdf
    • NLM

      Villanueva Llerena JG, Mauá DD. Robust analysis of MAP inference in selective sum-product nNetworks [Internet]. Proceedings of Machine Learning Research : PMLR. 2019 ; 103 430–440.[citado 2024 abr. 27 ] Available from: http://proceedings.mlr.press/v103/villanueva-llerena19a/villanueva-llerena19a.pdf
    • Vancouver

      Villanueva Llerena JG, Mauá DD. Robust analysis of MAP inference in selective sum-product nNetworks [Internet]. Proceedings of Machine Learning Research : PMLR. 2019 ; 103 430–440.[citado 2024 abr. 27 ] Available from: http://proceedings.mlr.press/v103/villanueva-llerena19a/villanueva-llerena19a.pdf
  • Source: Description logic, theory combination, and all that : essays dedicated to Franz Baader on the occasion of his 60th birthday. Unidade: IME

    Subjects: LÓGICA, RACIOCÍNIO PROBABILÍSTICO

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FINGER, Marcelo. Extending EL++ with linear constraints on the probability of axioms. Description logic, theory combination, and all that : essays dedicated to Franz Baader on the occasion of his 60th birthday. Tradução . Cham: Springer, 2019. . Disponível em: https://doi.org/10.1007/978-3-030-22102-7_13. Acesso em: 27 abr. 2024.
    • APA

      Finger, M. (2019). Extending EL++ with linear constraints on the probability of axioms. In Description logic, theory combination, and all that : essays dedicated to Franz Baader on the occasion of his 60th birthday. Cham: Springer. doi:10.1007/978-3-030-22102-7_13
    • NLM

      Finger M. Extending EL++ with linear constraints on the probability of axioms [Internet]. In: Description logic, theory combination, and all that : essays dedicated to Franz Baader on the occasion of his 60th birthday. Cham: Springer; 2019. [citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-030-22102-7_13
    • Vancouver

      Finger M. Extending EL++ with linear constraints on the probability of axioms [Internet]. In: Description logic, theory combination, and all that : essays dedicated to Franz Baader on the occasion of his 60th birthday. Cham: Springer; 2019. [citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-030-22102-7_13
  • Source: IEEE Systems Journal. Unidades: EESC, ICMC

    Subjects: DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, REDES COMPLEXAS, REDES COMPLEXAS, DISTRIBUIÇÃO DE ENERGIA ELÉTRICA, FALHAS COMPUTACIONAIS, CLIMATOLOGIA DINÂMICA, RACIOCÍNIO PROBABILÍSTICO, PROTEÇÃO DE SISTEMAS ELÉTRICOS, PLANEJAMENTO ENERGÉTICO, TOMADA DE DECISÃO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      BESSANI, Michel et al. Probabilistic assessment of power distribution systems resilience under extreme weather. IEEE Systems Journal, v. 13, n. 2, p. 1747-1756, 2019Tradução . . Disponível em: https://doi.org/10.1109/JSYST.2018.2853554. Acesso em: 27 abr. 2024.
    • APA

      Bessani, M., Massignan, J. A. D., Fanucchi, R. Z., Camillo, M. H. M., London Junior, J. B. A., Delbem, A. C. B., & Maciel, C. D. (2019). Probabilistic assessment of power distribution systems resilience under extreme weather. IEEE Systems Journal, 13( 2), 1747-1756. doi:10.1109/JSYST.2018.2853554
    • NLM

      Bessani M, Massignan JAD, Fanucchi RZ, Camillo MHM, London Junior JBA, Delbem ACB, Maciel CD. Probabilistic assessment of power distribution systems resilience under extreme weather [Internet]. IEEE Systems Journal. 2019 ; 13( 2): 1747-1756.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/JSYST.2018.2853554
    • Vancouver

      Bessani M, Massignan JAD, Fanucchi RZ, Camillo MHM, London Junior JBA, Delbem ACB, Maciel CD. Probabilistic assessment of power distribution systems resilience under extreme weather [Internet]. IEEE Systems Journal. 2019 ; 13( 2): 1747-1756.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/JSYST.2018.2853554
  • Source: Proceedings. Conference titles: International Workshop on Neural-Symbolic Learning and Reasoning - NeSy. Unidade: IME

    Subjects: APRENDIZADO COMPUTACIONAL, RACIOCÍNIO PROBABILÍSTICO

    PrivadoAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SALVATORE, Felipe de Souza et al. Using neural models to perform inference. 2019, Anais.. Vienna: IJCAI, 2019. Disponível em: https://drive.google.com/file/d/1HcPIXDwlZRu6zm0srwxEqVXYbdh4QiNT/view. Acesso em: 27 abr. 2024.
    • APA

      Salvatore, F. de S., Preto, S., Finger, M., & Hirata Júnior, R. (2019). Using neural models to perform inference. In Proceedings. Vienna: IJCAI. Recuperado de https://drive.google.com/file/d/1HcPIXDwlZRu6zm0srwxEqVXYbdh4QiNT/view
    • NLM

      Salvatore F de S, Preto S, Finger M, Hirata Júnior R. Using neural models to perform inference [Internet]. Proceedings. 2019 ;[citado 2024 abr. 27 ] Available from: https://drive.google.com/file/d/1HcPIXDwlZRu6zm0srwxEqVXYbdh4QiNT/view
    • Vancouver

      Salvatore F de S, Preto S, Finger M, Hirata Júnior R. Using neural models to perform inference [Internet]. Proceedings. 2019 ;[citado 2024 abr. 27 ] Available from: https://drive.google.com/file/d/1HcPIXDwlZRu6zm0srwxEqVXYbdh4QiNT/view
  • Source: Measuring inconsistency in information. Unidades: IME, EP

    Subjects: LÓGICA, RACIOCÍNIO PROBABILÍSTICO, INTELIGÊNCIA ARTIFICIAL

    PrivadoAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DE BONA, Glauber et al. Inconsistency measurement in probabilistic logic. Measuring inconsistency in information. Tradução . London: College Publications, 2018. . Disponível em: http://www.mthimm.de/pub/2018/DeBona_2018.pdf. Acesso em: 27 abr. 2024.
    • APA

      De Bona, G., Finger, M., Potyka, N., & Thimm, M. (2018). Inconsistency measurement in probabilistic logic. In Measuring inconsistency in information. London: College Publications. Recuperado de http://www.mthimm.de/pub/2018/DeBona_2018.pdf
    • NLM

      De Bona G, Finger M, Potyka N, Thimm M. Inconsistency measurement in probabilistic logic [Internet]. In: Measuring inconsistency in information. London: College Publications; 2018. [citado 2024 abr. 27 ] Available from: http://www.mthimm.de/pub/2018/DeBona_2018.pdf
    • Vancouver

      De Bona G, Finger M, Potyka N, Thimm M. Inconsistency measurement in probabilistic logic [Internet]. In: Measuring inconsistency in information. London: College Publications; 2018. [citado 2024 abr. 27 ] Available from: http://www.mthimm.de/pub/2018/DeBona_2018.pdf
  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidades: IME, EACH

    Subjects: PROGRAMAÇÃO LINEAR, RACIOCÍNIO PROBABILÍSTICO, PROCESSOS ESTOCÁSTICOS

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FERNÁNDEZ, Milton Condori e BARROS, Leliane Nunes de e DELGADO, Karina Valdivia. Occupation measure heuristics to solve stochastic shortest path with dead ends. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/BRACIS.2018.00096. Acesso em: 27 abr. 2024.
    • APA

      Fernández, M. C., Barros, L. N. de, & Delgado, K. V. (2018). Occupation measure heuristics to solve stochastic shortest path with dead ends. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2018.00096
    • NLM

      Fernández MC, Barros LN de, Delgado KV. Occupation measure heuristics to solve stochastic shortest path with dead ends [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/BRACIS.2018.00096
    • Vancouver

      Fernández MC, Barros LN de, Delgado KV. Occupation measure heuristics to solve stochastic shortest path with dead ends [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/BRACIS.2018.00096
  • Source: Proceedings. Conference titles: International Joint Conference on Automated Reasoning - IJCAR. Unidade: IME

    Subjects: RACIOCÍNIO PROBABILÍSTICO, LÓGICA

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FINGER, Marcelo e PRETO, Sandro. Probably half true: probabilistic satisfiability over Łukasiewicz infinitely-valued logic. 2018, Anais.. Cham: Springer, 2018. Disponível em: https://doi.org/10.1007/978-3-319-94205-6_14. Acesso em: 27 abr. 2024.
    • APA

      Finger, M., & Preto, S. (2018). Probably half true: probabilistic satisfiability over Łukasiewicz infinitely-valued logic. In Proceedings. Cham: Springer. doi:10.1007/978-3-319-94205-6_14
    • NLM

      Finger M, Preto S. Probably half true: probabilistic satisfiability over Łukasiewicz infinitely-valued logic [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-319-94205-6_14
    • Vancouver

      Finger M, Preto S. Probably half true: probabilistic satisfiability over Łukasiewicz infinitely-valued logic [Internet]. Proceedings. 2018 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/978-3-319-94205-6_14
  • 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

    PrivadoAcesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • 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: 27 abr. 2024. , 2016
    • APA

      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.pdf
    • NLM

      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 abr. 27 ] Available from: http://proceedings.mlr.press/v52/maua16.pdf
    • Vancouver

      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 abr. 27 ] Available from: http://proceedings.mlr.press/v52/maua16.pdf
  • Source: International Journal of Approximate Reasoning. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, PROBABILIDADE APLICADA, RACIOCÍNIO PROBABILÍSTICO

    Acesso à fonteDOIHow to cite
    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: 27 abr. 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 abr. 27 ] 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 abr. 27 ] Available from: https://doi.org/10.1016/j.ijar.2015.03.007
  • Source: Journal of the Brazilian Computer Society. Unidades: EP, IME

    Subjects: RACIOCÍNIO PROBABILÍSTICO, COMPUTABILIDADE E COMPLEXIDADE, INTELIGÊNCIA ARTIFICIAL

    Versão PublicadaAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DE BONA, Glauber e COZMAN, Fabio Gagliardi e FINGER, Marcelo. Generalized probabilistic satisfiability through integer programming. Journal of the Brazilian Computer Society, v. 21, p. 14 , 2015Tradução . . Disponível em: https://doi.org/10.1186/s13173-015-0028-x. Acesso em: 27 abr. 2024.
    • APA

      De Bona, G., Cozman, F. G., & Finger, M. (2015). Generalized probabilistic satisfiability through integer programming. Journal of the Brazilian Computer Society, 21, 14 . doi:10.1186/s13173-015-0028-x
    • NLM

      De Bona G, Cozman FG, Finger M. Generalized probabilistic satisfiability through integer programming [Internet]. Journal of the Brazilian Computer Society. 2015 ; 21 14 .[citado 2024 abr. 27 ] Available from: https://doi.org/10.1186/s13173-015-0028-x
    • Vancouver

      De Bona G, Cozman FG, Finger M. Generalized probabilistic satisfiability through integer programming [Internet]. Journal of the Brazilian Computer Society. 2015 ; 21 14 .[citado 2024 abr. 27 ] Available from: https://doi.org/10.1186/s13173-015-0028-x
  • Source: Theoretical Computer Science. Unidade: IME

    Subjects: RACIOCÍNIO PROBABILÍSTICO, LINGUÍSTICA COMPUTACIONAL

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      Special issue: Selected papers of the 7th and 8th workshops on Logical and Semantic Frameworks with Applications (LSFA). [Editorial]. Theoretical Computer Science. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. Disponível em: https://doi.org/10.1016/j.tcs.2015.10.028. Acesso em: 27 abr. 2024. , 2015
    • APA

      Special issue: Selected papers of the 7th and 8th workshops on Logical and Semantic Frameworks with Applications (LSFA). [Editorial]. (2015). Special issue: Selected papers of the 7th and 8th workshops on Logical and Semantic Frameworks with Applications (LSFA). [Editorial]. Theoretical Computer Science. Amsterdam: Instituto de Matemática e Estatística, Universidade de São Paulo. doi:10.1016/j.tcs.2015.10.028
    • NLM

      Special issue: Selected papers of the 7th and 8th workshops on Logical and Semantic Frameworks with Applications (LSFA). [Editorial] [Internet]. Theoretical Computer Science. 2015 ; no 2015) 1.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.tcs.2015.10.028
    • Vancouver

      Special issue: Selected papers of the 7th and 8th workshops on Logical and Semantic Frameworks with Applications (LSFA). [Editorial] [Internet]. Theoretical Computer Science. 2015 ; no 2015) 1.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.tcs.2015.10.028
  • Source: Artificial Intelligence. Unidades: EP, IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DE BONA, Glauber e FINGER, Marcelo. Measuring inconsistency in probabilistic logic: rationality postulates and Dutch book interpretation. Artificial Intelligence, v. 227, p. 140-164, 2015Tradução . . Disponível em: https://doi.org/10.1016/j.artint.2015.06.006. Acesso em: 27 abr. 2024.
    • APA

      De Bona, G., & Finger, M. (2015). Measuring inconsistency in probabilistic logic: rationality postulates and Dutch book interpretation. Artificial Intelligence, 227, 140-164. doi:10.1016/j.artint.2015.06.006
    • NLM

      De Bona G, Finger M. Measuring inconsistency in probabilistic logic: rationality postulates and Dutch book interpretation [Internet]. Artificial Intelligence. 2015 ; 227 140-164.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.artint.2015.06.006
    • Vancouver

      De Bona G, Finger M. Measuring inconsistency in probabilistic logic: rationality postulates and Dutch book interpretation [Internet]. Artificial Intelligence. 2015 ; 227 140-164.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.artint.2015.06.006
  • Source: Annals of Mathematics and Artificial Intelligence. Unidade: IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO, REPRESENTAÇÃO DE CONHECIMENTO

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      FINGER, Marcelo e DE BONA, Glauber. Probabilistic satisfiability: algorithms with the presence and absence of a phase transition. Annals of Mathematics and Artificial Intelligence, v. 75, n. 3-4, p. 351-389, 2015Tradução . . Disponível em: https://doi.org/10.1007/s10472-015-9466-6. Acesso em: 27 abr. 2024.
    • APA

      Finger, M., & De Bona, G. (2015). Probabilistic satisfiability: algorithms with the presence and absence of a phase transition. Annals of Mathematics and Artificial Intelligence, 75( 3-4), 351-389. doi:10.1007/s10472-015-9466-6
    • NLM

      Finger M, De Bona G. Probabilistic satisfiability: algorithms with the presence and absence of a phase transition [Internet]. Annals of Mathematics and Artificial Intelligence. 2015 ; 75( 3-4): 351-389.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/s10472-015-9466-6
    • Vancouver

      Finger M, De Bona G. Probabilistic satisfiability: algorithms with the presence and absence of a phase transition [Internet]. Annals of Mathematics and Artificial Intelligence. 2015 ; 75( 3-4): 351-389.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1007/s10472-015-9466-6
  • Unidade: EP

    Subjects: ROBÓTICA, WEB SEMÂNTICA, RACIOCÍNIO PROBABILÍSTICO

    Acesso à fonteHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      MAYOR TORO, Walter Mauricio. Web-based relational robot navigation under uncertain perception. 2014. Dissertação (Mestrado) – Universidade de São Paulo, São Paulo, 2014. Disponível em: http://www.teses.usp.br/teses/disponiveis/3/3139/tde-26082015-165514/. Acesso em: 27 abr. 2024.
    • APA

      Mayor Toro, W. M. (2014). Web-based relational robot navigation under uncertain perception (Dissertação (Mestrado). Universidade de São Paulo, São Paulo. Recuperado de http://www.teses.usp.br/teses/disponiveis/3/3139/tde-26082015-165514/
    • NLM

      Mayor Toro WM. Web-based relational robot navigation under uncertain perception [Internet]. 2014 ;[citado 2024 abr. 27 ] Available from: http://www.teses.usp.br/teses/disponiveis/3/3139/tde-26082015-165514/
    • Vancouver

      Mayor Toro WM. Web-based relational robot navigation under uncertain perception [Internet]. 2014 ;[citado 2024 abr. 27 ] Available from: http://www.teses.usp.br/teses/disponiveis/3/3139/tde-26082015-165514/
  • Source: Journal of Applied Logic. Unidades: EP, IME

    Subjects: INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO, PROBABILIDADE

    PrivadoAcesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DE BONA, Glauber e COZMAN, Fabio Gagliardi e FINGER, Marcelo. Towards classifying propositional probabilistic logics. Journal of Applied Logic, v. 12, n. 3, p. 349-368, 2014Tradução . . Disponível em: https://doi.org/10.1016/j.jal.2014.01.005. Acesso em: 27 abr. 2024.
    • APA

      De Bona, G., Cozman, F. G., & Finger, M. (2014). Towards classifying propositional probabilistic logics. Journal of Applied Logic, 12( 3), 349-368. doi:10.1016/j.jal.2014.01.005
    • NLM

      De Bona G, Cozman FG, Finger M. Towards classifying propositional probabilistic logics [Internet]. Journal of Applied Logic. 2014 ; 12( 3): 349-368.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.jal.2014.01.005
    • Vancouver

      De Bona G, Cozman FG, Finger M. Towards classifying propositional probabilistic logics [Internet]. Journal of Applied Logic. 2014 ; 12( 3): 349-368.[citado 2024 abr. 27 ] Available from: https://doi.org/10.1016/j.jal.2014.01.005
  • Unidades: IME, EP

    Subjects: INTELIGÊNCIA ARTIFICIAL, RACIOCÍNIO PROBABILÍSTICO, LÓGICA MATEMÁTICA APLICADA, PROBABILIDADE

    Versão PublicadaHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      DE BONA, Glauber e FINGER, Marcelo. Notes on measuring inconsistency in probabilistic logic. . São Paulo: IME-USP. Disponível em: https://repositorio.usp.br/directbitstream/79640248-0a28-4512-9825-172322d22245/2672094.pdf. Acesso em: 27 abr. 2024. , 2014
    • APA

      De Bona, G., & Finger, M. (2014). Notes on measuring inconsistency in probabilistic logic. São Paulo: IME-USP. Recuperado de https://repositorio.usp.br/directbitstream/79640248-0a28-4512-9825-172322d22245/2672094.pdf
    • NLM

      De Bona G, Finger M. Notes on measuring inconsistency in probabilistic logic [Internet]. 2014 ;[citado 2024 abr. 27 ] Available from: https://repositorio.usp.br/directbitstream/79640248-0a28-4512-9825-172322d22245/2672094.pdf
    • Vancouver

      De Bona G, Finger M. Notes on measuring inconsistency in probabilistic logic [Internet]. 2014 ;[citado 2024 abr. 27 ] Available from: https://repositorio.usp.br/directbitstream/79640248-0a28-4512-9825-172322d22245/2672094.pdf
  • Source: Proceedings. Conference titles: Brazilian Conference on Intelligent Systems - BRACIS. Unidade: IME

    Subjects: RACIOCÍNIO PROBABILÍSTICO, PROCESSOS DE MARKOV, PROCESSOS ESTOCÁSTICOS

    Acesso à fonteDOIHow to cite
    A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
    • ABNT

      SANTOS, Felipe Martins dos e BARROS, Leliane Nunes de e GAMARRA HOLGUIN, Mijail. Stochastic bisimulation for MDPs using reachability analysis. 2013, Anais.. Piscataway: IEEE, 2013. Disponível em: https://doi.org/10.1109/BRACIS.2013.43. Acesso em: 27 abr. 2024.
    • APA

      Santos, F. M. dos, Barros, L. N. de, & Gamarra Holguin, M. (2013). Stochastic bisimulation for MDPs using reachability analysis. In Proceedings. Piscataway: IEEE. doi:10.1109/BRACIS.2013.43
    • NLM

      Santos FM dos, Barros LN de, Gamarra Holguin M. Stochastic bisimulation for MDPs using reachability analysis [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/BRACIS.2013.43
    • Vancouver

      Santos FM dos, Barros LN de, Gamarra Holguin M. Stochastic bisimulation for MDPs using reachability analysis [Internet]. Proceedings. 2013 ;[citado 2024 abr. 27 ] Available from: https://doi.org/10.1109/BRACIS.2013.43

Digital Library of Intellectual Production of Universidade de São Paulo     2012 - 2024