Bibliography
Conference Paper (Czech conference)
Thoughts on belief and model revision with uncertain evidence
: Znalosti 2004. Sborník příspěvků 3.ročníku konference, p. 126-137
: Znalosti 2004 /3./, (Brno, CZ, 22.02.2004-25.02.2004)
: CEZ:AV0Z1075907
: GA201/02/1269, GA ČR
: probabilistic models, Bayesian networks, belief revision
(eng): Bayesian networks and other graphical probabilistic models became a popular framework for reasoning with uncertainty. Efficient methods have been developed for revising beliefs with new evidence. However, when the evidence is uncertain, i.e. represented by a probability distribution, different methods have been proposed. In this paper we analyze and compare these methods. The goal is to show in what cases they can be used correctly.
: 12B, 09N
: BD