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S-ElimBel
S-ElimBel, implemented in MIT Scheme, can automatically and easily compute the belief in a Bayesian Network using the ElimBel algorithm. This algorithm has the particularity of being rather easy to understand. Moreover, one can apply it to any kind of Bayesian network - it being singly connected or muliply connected. It is, however, less powerful than the standard algorithm of belief propagation. Indeed, the computation has to be reconducted entirely for each new evidence added to the network. Also, one needs to run the algorithm as many times as one has nodes for which the belief is wanted.
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Current Version: ??
License Type: Free
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Source Code Availability: Yes
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