Počet záznamů: 1
Two Composition Operators for Belief Functions Revisited
- 1.0558137 - ÚTIA 2023 RIV CZ eng K - Konferenční příspěvek (tuzemská konf.)
Jiroušek, Radim - Kratochvíl, Václav - Shenoy, P. P.
Two Composition Operators for Belief Functions Revisited.
Proceedings of the 12th Workshop on Uncertainty Processing. Prague: MatfyzPress, 2022 - (Studený, M.; Ay, N.; Coletti, G.; Kleiter, G.; Shenoy, P.), s. 123-134. ISBN 978-80-7378-460-7.
[WUPES 2022: 12th Workshop on Uncertainty Processing. Kutná Hora (CZ), 01.06.2022-04.06.2022]
Grant ostatní: GA ČR(CZ) GA19-06569S
Program: GA
Institucionální podpora: RVO:67985556
Klíčová slova: probability theory * Bayesian networks * belief functions
Obor OECD: Applied mathematics
http://library.utia.cas.cz/separaty/2022/MTR/kratochvil-0558137.pdf
In probability theory, compositional models are as powerful as Bayesian networks. However, the relation between belief-function graphical models and the corresponding compositional models is much more complicated due to several reasons. One of them is that there are two composition operators for belief functions. This paper deals with their main properties and presents sufficient conditions under which they yield the same results.
Trvalý link: http://hdl.handle.net/11104/0332322
Počet záznamů: 1