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Thoughts on belief and model revision with uncertain evidence
- 1.0106215 - UTIA-B 20040025 CZ eng K - Konferenční příspěvek (tuzemská konf.)
Vomlel, Jiří
Thoughts on belief and model revision with uncertain evidence.
Znalosti 2004. Sborník příspěvků 3.ročníku konference. Ostrava: VŠB TU, 2004 - (Snášel, V.), s. 126-137. ISBN 80-248-0456-5.
[Znalosti 2004 /3./. Brno (CZ), 22.02.2004-25.02.2004]
Grant CEP: GA ČR GA201/02/1269
Výzkumný záměr: CEZ:AV0Z1075907
Klíčová slova: probabilistic models * Bayesian networks * belief revision
Kód oboru RIV: BD - Teorie informace
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.
Trvalý link: http://hdl.handle.net/11104/0013397
Počet záznamů: 1