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Approximation of Data by Decomposable Belief Models
- 1.0350718 - ÚTIA 2011 RIV DE eng C - Conference Paper (international conference)
Jiroušek, Radim
Approximation of Data by Decomposable Belief Models.
Information Processing and Management of Uncertainty in Knowledge-Based Systems (Part I). Vol. I. Heidelberg: Springer, 2010 - (Hüllermeier, E.; Kruse, R.; Hoffmann, F.), s. 40-49. Communications in Computer and Information Science, Vol. 80, Vol. 80. ISBN 978-3-642-14057-0.
[Information Processing and Management of Uncertainty in Knowledge-Based Systems. Dortmund (DE), 28.06.2010-02.07.2010]
R&D Projects: GA MŠMT 1M0572; GA ČR GA201/09/1891
Grant - others:GA ČR(XE) ICC/08/E010 Eurocores LogICCC
Institutional research plan: CEZ:AV0Z10750506
Keywords : Discrete belief functions * Dempster-Shafer theory * graphical model
Subject RIV: IN - Informatics, Computer Science
http://library.utia.cas.cz/separaty/2010/MTR/jirousek-approximation of data by decomposable belief models.pdf
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
Permanent Link: http://hdl.handle.net/11104/0190645
Number of the records: 1