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Research Centre
Data - Algorithms - Decision Making
Data - Algorithms - Decision Making
Established in 2005 under support of MŠMT ČR (project 1M0572)
Publications
Approximation of Data by Decomposable Belief Models
Typ:
Conference paper
Authors:
Proceedings name:
Information Processing and Management of Uncertainty in Knowledge-Based Systems (Part I)
Name of part:
I
Publisher:
Springer
Serie:
Heidelberg
Year:
2010
ISBN:
978-3-642-14057-0
Keywords:
Discrete belief functions, Dempster-Shafer theory, graphical
Anotation:
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