Learning Parameters in Directed Evidential Networks with Conditional Belief Functions-Reference-Cited by-同舟云学术

Learning Parameters in Directed Evidential Networks with Conditional Belief Functions

Published:2014 Issue: Volume: Page:294-303
ISSN:0302-9743
Container-title:Belief Functions: Theory and Applications
language:
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Author:

Ben Hariz Narjes,Ben Yaghlane Boutheina

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-11191-9_32

Reference18 articles.

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2. Lecture Notes in Artificial Intelligence;B.B. Yaghlane,1999

3. Ben Yaghlane, B., Mellouli, K.: Inference in Directed Evidential Networks Based on the Transferable Belief Model. IJAR 48(2), 399–418 (2008)

4. Dempster, A.P., Laird, N.M., Rubin, D.B.: Maximum Likelihood from incomplete data via the EM algorithm. Journal of the Royal Statistical Society, SERIES B 39, 1–38 (1977)

5. Denœux, T.: Maximum Likelihood Estimation from Uncertain Data in the Belief Function Framework. Knowledge and Data Engineering 25, 119–113 (2013)

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