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Approximation algorithms for the loop cutset problem
UAI'94 Proceedings of the Tenth international conference on Uncertainty in artificial intelligence, (2013): 60-68
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Abstract
We show how to find a small loop cutset in a Bayesian network. Finding such a loop cutset is the first step in the method of conditioning for inference. Our algorithm for finding a loop cutset, called MGA, finds a loop cut-set which is guaranteed in the worst case to contain less than twice the number of variables contained in a minimum l...More
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