On the Complexity of the Graphical Representation and the Belief Inference in the Dynamic Directed Evidential Networks with Conditional Belief Functions-Reference-Cited by-同舟云学术

On the Complexity of the Graphical Representation and the Belief Inference in the Dynamic Directed Evidential Networks with Conditional Belief Functions

Published:2012 Issue: Volume: Page:206-218
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:
Short-container-title:

Author:

Laâmari Wafa,Ben Yaghlane Boutheina,Simon Christophe

Publisher

Springer Berlin Heidelberg

Link

http://link.springer.com/content/pdf/10.1007/978-3-642-33362-0_16.pdf

Reference13 articles.

1. Ben Yaghlane, B., Mellouli, K.: Inference in directed evidential networks based on the transferable belief model. Int. J. Approx. Reasoning 48(2), 399–418 (2008)

2. Heni, A., Ben Amor, N., Benferhat, S., Alimi, A.: Dynamic Possibilistic Networks: Representation and Exact Inference. In: IEEE International Conference on Computational Intelligence for Measurement Systems and Applications (CIMSA 2007), Ostuni, Italy, pp. 1–8 (2007)

3. Lecture Notes in Computer Science;W. Laâmari,2010

4. Lauritzen, S.L.: Graphical Models. Clarendon Press, Oxford (1996)

5. Murphy, K.: Dynamic Bayesian Networks: Representation, Inference and Learning. PhD thesis, Dept. Computer Science, UC, Berkeley (2002)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New Propagation Algorithm in Dynamic Directed Evidential Networks with Conditional Belief Functions;Lecture Notes in Computer Science;2013

2. On the Use of a Mixed Binary Join Tree for Exact Inference in Dynamic Directed Evidential Networks with Conditional Belief Functions;Knowledge Science, Engineering and Management;2013