Počet záznamů: 1
Marginalization in composed probabilistic models
- 1.0410574 - UTIA-B 20010043 RIV US eng C - Konferenční příspěvek (zahraniční konf.)
Jiroušek, Radim
Marginalization in composed probabilistic models.
San Francisco: Morgan Kaufmann, 2000. ISBN 1-55860-709-9. In: Proceedings of the 16th Conference on Uncertainty in Artificial Intelligence. - (Boutilier, C.; Goldszmidt, M.), s. 36-43
[Conference on Uncertainty in Artificial Intelligence /16./. Stanford (US), 30.06.2000-03.07.2000]
Grant CEP: GA ČR GA201/98/1487; GA MŠMT VS96008
Výzkumný záměr: AV0Z1075907
Klíčová slova: multidimensional distribution * Bayesian network * computation
Kód oboru RIV: BA - Obecná matematika
Composition of low-dimensional distributions, whose foundations were laid in the paper published in the Proceedings of UAI'97, appeared to be an alternative apparatus to describe multidimensional probabilistic models. In contrast to Graphical Markov Models, which define multidimensional distributions in a declarative way, this approach is rather procedural.
Trvalý link: http://hdl.handle.net/11104/0130663
Počet záznamů: 1