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Detection of independence relations from persegrams
- 1.0410859 - UTIA-B 20020073 RIV FR eng C - Conference Paper (international conference)
Jiroušek, Radim
Detection of independence relations from persegrams.
Annecy: ESIA, 2002. ISBN 2-9516453-3-3. In: Proceedings of the 9th Information Processing and Management of Uncertainty in Knowledge-based Systems., s. 1261-1267
[IPMU '2002 /9./. Annecy (FR), 01.07.2002-05.07.2002]
R&D Projects: GA ČR GA201/02/1269
Grant - others:Copernicus(XE) PL973121-IC15CT98-0315; AKTION(AT) KONTAKT 1999-24
Institutional research plan: CEZ:AV0Z1075907
Keywords : multidimensional model * probability distribution * composition
Subject RIV: BA - General Mathematics
The paper describes an approach to represent multidimensional distributions by "generating sequences". Their subclass of so called "perfect sequences", are equivalent to the class of distributions represented by Bayesian networks. The famous d-separation criterion enables the user to read all the conditional independence relations among the variables of a Bayesian network. This paper shows how to get the same information for distributions represented by perfect sequences.
Permanent Link: http://hdl.handle.net/11104/0130946
Number of the records: 1