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Almost Bayesian Assignments and Conditional independence: a contribution to Dempster-Shafer theory of evidence
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SYSNO ASEP 0333763 Document Type C - Proceedings Paper (int. conf.) R&D Document Type Conference Paper Title Almost Bayesian Assignments and Conditional independence: a contribution to Dempster-Shafer theory of evidence Title Skoro bayesovská přiřazení a podmíněná nezávislost: příspěvek k Dempster-Shaferově teorii Author(s) Jiroušek, Radim (UTIA-B) ORCID Source Title Proceedings of the 6th International Symposium on Imprecise Probability: Theories and Applications. - Durham : SIPTA, 2009 Pages s. 249-258 Number of pages 10 s. Publication form www - www Action 6th International Symposium on Imprecise Probability: Theories and Applications Event date 14.07.2009-18.07.2009 VEvent location Durham Country GB - United Kingdom Event type WRD Language eng - English Country GB - United Kingdom Keywords multidimensional models ; D-S theory ; Bayesian assignments ; conditional independence 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 Bayesian assignments correspond in Dempster-Shafer theory of evidence to probabilistic distributions. The paper introduces a new concept of almost Bayesian assignemnts that generalizes the notion to a more wide class, which contains more general assignments with the limited space requirements. Workplace Institute of Information Theory and Automation Contact Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201. Year of Publishing 2010
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