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An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence

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    SYSNO ASEP0350720
    Document TypeC - Proceedings Paper (int. conf.)
    R&D Document TypeConference Paper
    TitleAn Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence
    Author(s) Jiroušek, Radim (UTIA-B)
    Source TitleCombining Soft Computing and Statistical Methods in Data Analysis. - Berlin, Heidelberg : Springer-Verlag, 2010 / Borgelt Ch. ; Gonzales-Rodriguez G. ; Trutschnig W. ; Lubiano M.A. ; Gil M.A. ; Grzegorzewski P. ; Hryniewicz O. - ISSN 1867-5662 - ISBN 978-3-642-14745-6
    Pagess. 361-368
    Number of pages8 s.
    Action5th Int. Conf. on Soft Methods in Probability and Statistics
    Event date28.09.2010-01.10.2010
    VEvent locationOviedo and Mieres
    CountryES - Spain
    Event typeWRD
    Languageeng - English
    CountryDE - Germany
    KeywordsDiscrete belief functions ; conditional independence ; graphical model
    Subject RIVIN - Informatics, Computer Science
    R&D Projects1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS)
    GA201/09/1891 GA ČR - Czech Science Foundation (CSF)
    CEZAV0Z10750506 - UTIA-B (2005-2011)
    AnnotationThe goal of the paper is to introduce graphical models in Dempster-Shafer theory of evidence. The way the models are defined is a natural and straightforward generalization of the approach from probability theory. The models possess the same Global Markov Properties, which holds for probabilistic graphical models.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2011
Number of the records: 1  

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