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An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence
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SYSNO ASEP 0350720 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence Author(s) Jiroušek, Radim (UTIA-B) ORCID Source Title Combining 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 Pages s. 361-368 Number of pages 8 s. Action 5th Int. Conf. on Soft Methods in Probability and Statistics Event date 28.09.2010-01.10.2010 VEvent location Oviedo and Mieres Country ES - Spain Event type WRD Language eng - English Country DE - Germany Keywords Discrete belief functions ; conditional independence ; graphical model Subject RIV IN - Informatics, Computer Science R&D Projects 1M0572 GA MŠMT - Ministry of Education, Youth and Sports (MEYS) GA201/09/1891 GA ČR - Czech Science Foundation (CSF) CEZ AV0Z10750506 - UTIA-B (2005-2011) Annotation The 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. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2011
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