P. P. Shenoy
Jiroušek Radim, Kratochvíl Václav, Shenoy P. P.
:
On Open Problems Associated with Conditioning in the Dempster-Shafer Belief Function Theory
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Proceedings of the 23rd Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 1-10
, Eds: Yoshifumi Kusunoki, Václav Kratochvíl, Masahiro Inuiguchi, Ondřej Čepek,
Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty 20232 /23./,
(Matsuyama, JP, 20230916) [2023]
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Jiroušek Radim, Kratochvíl Václav, Shenoy P. P.
:
On the relationship between graphical and compositional models for the Dempster-Shafer theory of belief functions
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Proceedings of Machine Learning Research, Volume 215: International Symposium on Imprecise Probability: Theories and Applications,, p. 259-269,
International Symposium on Imprecise Probability: Theories and Applications 2023 /13./,
(Oviedo, ES, 20230711) [2023]
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Jiroušek Radim, Kratochvíl Václav, Shenoy P. P.
:
Two Composition Operators for Belief Functions Revisited
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Proceedings of the 12th Workshop on Uncertainty Processing, p. 123-134
, Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P.,
WUPES 2022: 12th Workshop on Uncertainty Processing,
(Kutná Hora, CZ, 20220601) [2022]
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Jiroušek Radim, Kratochvíl Václav, Shenoy P. P.
:
Computing the Decomposable Entropy of Graphical Belief Function Models
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Proceedings of the 12th Workshop on Uncertainty Processing, p. 111-122
, Eds: Studený Milan, Ay Nihat, Coletti Giulianella, Kleiter Gernot D., Shenoy Prakash P.,
WUPES 2022: 12th Workshop on Uncertainty Processing,
(Kutná Hora, CZ, 20220601) [2022]
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Jiroušek Radim, Kratochvíl Václav, Shenoy P. P.
:
Entropy-Based Learning of Compositional Models from Data
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Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021 - Proceedings, p. 117-126
, Eds: Denœux T., Lefèvre E., Liu Z., Pichon F.,
International Conference on Belief Functions 2021 /6./,
(Shanghai, CN, 20211015) [2021]
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DOI:
10.1007/978-3-030-88601-1_12