An explication of uncertain evidence in Bayesian networks: likelihood evidence and probabilistic evidence

This paper proposes a systematized presentation and a terminology for observations in a Bayesian network. It focuses on the three main concepts of uncertain evidence, namely likelihood evidence and fixed and not-fixed probabilistic evidence, using a review of previous literature. A probabilistic fin...

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Bibliographic Details

Main Authors:	Ali Ben Mrad, Veronique Delcroix, Sylvain Piechowiak, Philip Leicester, Mohamed Abid
Format:	Default Article
Published:	2015
Subjects:	Other built environment and design not elsewhere classified Artificial intelligence not elsewhere classified Bayesian network Uncertain evidence Probabilistic evidence Likelihood finding Soft evidence Virtual evidence Built Environment and Design not elsewhere classified Artificial Intelligence and Image Processing
Online Access:	https://hdl.handle.net/2134/19708
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