0350718 20240103194238.320110106235959.9 10 s. www cav_un_epca*0350717978-3-642-14057-0I40-49HeidelbergSpringer2010HüllermeierEyke KruseRudolf HoffmannFrank Discrete belief functions Dempster-Shafer theory graphical model cav_un_auth*0101118 Jiroušek Radim Matematická teorie rozhodování Department of Decision Making Theory MTR MTR UTIA-B Department of Decision Making Theory Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2010/MTR/jirousek-approximation of data by decomposable belief models.pdf 1M0572 GA MŠk cav_un_auth*0001814 GA201/09/1891 GA ČR cav_un_auth*0253175 ICC/08/E010 Eurocores LogICCC GA ČR XE cav_un_auth*0255499 CEZ:AV0Z10750506 The paper defines the counterpart of decomposable models within Dempster-Shafer theory of evidence and illustrates their efficiency on the problem of approximation of a sample distribution for a data file with missing values cav_un_auth*0266376 Information Processing and Management of Uncertainty in Knowledge-Based Systems Dortmund 28.06.2010-02.07.2010 DE 2011 IN http://hdl.handle.net/11104/0190645 2010 cav_un_epca*0350717 Information Processing and Management of Uncertainty in Knowledge-Based Systems (Part I) I 978-3-642-14057-0 40 49 Heidelberg Springer 2010 Communications in Computer and Information Science, Vol. 80 Vol. 80 Hüllermeier Eyke 340 Kruse Rudolf 340 Hoffmann Frank 340