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Title: From information to evidence in a Bayesian network
Authors: Mrad, Ali Ben
Delcroix, Veronique
Piechowiak, Sylvain
Leicester, Philip A.
Keywords: Non-deterministic evidence
Uncertain evidence
Fixed probabilistic finding
Likelihood finding
Soft evidence
Virtual evidence
Issue Date: 2014
Publisher: © Springer
Citation: MRAD, A. ... et al., 2014. From information to evidence in a Bayesian network. IN: Proceedings of 2014 7th European Workshop on Probabilistic Graphical Models (PGM 2014), Utrecht, Netherlands, 17-19 September 2014, pp.33-48.
Series/Report no.: Lecture Notes in Artificial Intelligence;8754
Lecture Notes in Computer Science;8754
Abstract: Evidence in a Bayesian network comes from information based on the observation of one or more variables. A review of the terminology leads to the assessment that two main types of non-deterministic evidence have been defined, namely likelihood evidence and probabilistic evidence but the distinction between fixed probabilistic evidence and not fixed probabilistic evidence is not clear, and neither terminology nor concepts have been clearly defined. In particular, the term soft evidence is confusing. The article presents definitions and concepts related to the use of non-deterministic evidence in Bayesian networks, in terms of specification and propagation. Several examples help to understand how an initial piece of information can be specified as a finding in a Bayesian network.
Description: The final publication is available at Springer via: http://dx.doi.org/10.1007/978-3-319-11433-0_3.
Version: Published
DOI: 10.1007/978-3-319-11433-0_3
URI: https://dspace.lboro.ac.uk/2134/22808
Publisher Link: http://dx.doi.org/10.1007/978-3-319-11433-0_3
ISBN: 9783319114323
ISSN: 0302-9743
Appears in Collections:Closed Access (Mechanical, Electrical and Manufacturing Engineering)

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