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Computing Upper and Lower Bounds on Likelihoods in Intractable Networks

Published 13 Feb 2013 in cs.AI | (1302.3586v1)

Abstract: We present deterministic techniques for computing upper and lower bounds on marginal probabilities in sigmoid and noisy-OR networks. These techniques become useful when the size of the network (or clique size) precludes exact computations. We illustrate the tightness of the bounds by numerical experiments.

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