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0546760 - ÚTIA 2022 RIV CH eng C - Conference Paper (international conference)
Jiroušek, Radim - Kratochvíl, Václav - Shenoy, P. P.
Entropy-Based Learning of Compositional Models from Data.
Belief Functions: Theory and Applications - 6th International Conference, BELIEF 2021 - Proceedings. Cham: Springer, 2021 - (Denœux, T.; Lefèvre, E.; Liu, Z.; Pichon, F.), s. 117-126. Lecture Notes in Computer Science, 12915. ISBN 978-3-030-88600-4. ISSN 0302-9743. E-ISSN 1611-3349.
[International Conference on Belief Functions 2021 /6./. Shanghai (CN), 15.10.2021-19.10.2021]
Grant - others:GA ČR(CZ) GA19-06569S
Program: GA
Institutional support: RVO:67985556
Keywords : Compositional models * Entropy of Dempster-Shafer belief functions * Decomposable entropy of Dempster-Shafer belief functions
OECD category: Pure mathematics
http://library.utia.cas.cz/separaty/2021/MTR/jirousek-0546760.pdf
Permanent Link: http://hdl.handle.net/11104/0323760