An Attempt to Define Graphical Models in Dempster-Shafer Theory of Evidence
1.
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)
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.