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Filtros : "Gong, Ruobin" Limpar

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  • Trabalho de evento-anais periodico

    Elicitation for sets of probabilities and distributions (2025)

    Schervish, Mark J. ; Seidenfeld, Teddy ; Gong, Ruobin ; Kadane, Joseph B. ; Stern, Rafael Bassi

    Source: Proceedings of Machine Learning Research PMLR. Conference titles: International Symposium on Imprecise Probabilities: Theories and Applications - ISIPTA 2025. Unidade: IME

    Assunto: DISTRIBUIÇÕES (PROBABILIDADE)

    Versão PublicadaAcesso à fonteHow to cite
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    • ABNT

      SCHERVISH, Mark J. et al. Elicitation for sets of probabilities and distributions. Proceedings of Machine Learning Research PMLR. Cambridge: MLResearch Press. Disponível em: https://proceedings.mlr.press/v290/schervish25a.html. Acesso em: 27 abr. 2026. , 2025

    • APA

      Schervish, M. J., Seidenfeld, T., Gong, R., Kadane, J. B., & Stern, R. B. (2025). Elicitation for sets of probabilities and distributions. Proceedings of Machine Learning Research PMLR. Cambridge: MLResearch Press. Recuperado de https://proceedings.mlr.press/v290/schervish25a.html

    • NLM

      Schervish MJ, Seidenfeld T, Gong R, Kadane JB, Stern RB. Elicitation for sets of probabilities and distributions [Internet]. Proceedings of Machine Learning Research PMLR. 2025 ; 290 242-251.[citado 2026 abr. 27 ] Available from: https://proceedings.mlr.press/v290/schervish25a.html

    • Vancouver

      Schervish MJ, Seidenfeld T, Gong R, Kadane JB, Stern RB. Elicitation for sets of probabilities and distributions [Internet]. Proceedings of Machine Learning Research PMLR. 2025 ; 290 242-251.[citado 2026 abr. 27 ] Available from: https://proceedings.mlr.press/v290/schervish25a.html

  • Artigo de periodico

    When no price is right (2025)

    Schervish, Mark J. ; Seidenfeld, Teddy ; Kadane, Joseph B. ; Gong, Ruobin ; Stern, Rafael Bassi

    Source: The Review of Symbolic Logic. Unidade: IME

    Assunto: TEORIA DA DECISÃO

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

    • ABNT

      SCHERVISH, Mark J. et al. When no price is right. The Review of Symbolic Logic, v. 18, n. 1, p. 99-141, 2025Tradução . . Disponível em: https://doi.org/10.1017/S1755020324000017. Acesso em: 27 abr. 2026.

    • APA

      Schervish, M. J., Seidenfeld, T., Kadane, J. B., Gong, R., & Stern, R. B. (2025). When no price is right. The Review of Symbolic Logic, 18( 1), 99-141. doi:10.1017/S1755020324000017

    • NLM

      Schervish MJ, Seidenfeld T, Kadane JB, Gong R, Stern RB. When no price is right [Internet]. The Review of Symbolic Logic. 2025 ; 18( 1): 99-141.[citado 2026 abr. 27 ] Available from: https://doi.org/10.1017/S1755020324000017

    • Vancouver

      Schervish MJ, Seidenfeld T, Kadane JB, Gong R, Stern RB. When no price is right [Internet]. The Review of Symbolic Logic. 2025 ; 18( 1): 99-141.[citado 2026 abr. 27 ] Available from: https://doi.org/10.1017/S1755020324000017

  • 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

    Versão PublicadaAcesso à fonteDOIHow to cite
    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: 27 abr. 2026.

    • 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 2026 abr. 27 ] 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 2026 abr. 27 ] Available from: https://doi.org/10.1016/j.ijar.2022.08.016
  • 1

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