Paper Info
Title
Reasoning In Singly-Connected Directed Evidential Networks With Conditional Beliefs
Abstract
Directed evidential networks are powerful tools for knowledge representation and uncertain reasoning in a belief function framework. In this paper, we propose an algorithm for the propagation of belief functions in the singly-connected directed evidential networks, when each node is associated with one conditional belief function distribution specified given all its parents.
Year
DOI
Venue
2014
10.1007/978-3-319-07064-3_18
ARTIFICIAL INTELLIGENCE: METHODS AND APPLICATIONS
Field
DocType
Volume
Knowledge representation and reasoning,Computer science,Artificial intelligence,Evidential decision theory,Evidential reasoning approach,Machine learning
Conference
8445
ISSN
Citations 
PageRank 
0302-9743
4
0.49
References 
Authors
5
2
Name
Order
Citations
PageRank
Wafa Laâmari1163.06
Boutheina Ben Yaghlane218933.49