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Analyzing belief function networks with conditional beliefs

2011 11th International Conference on Intelligent Systems Design and Applications, 2011
The success of Bayesian networks is due to their capability to simply represent (in)dependence and to be a compact representation of a full joint distribution of the set of random variables involved in the studied system. Since belief function theory is known as a general framework to reason under uncertainty, it is expected that belief function ...
Imen Boukhris   +2 more
openaire   +1 more source

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