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Iterated conditional modes
Algorithm for approximate statistical inference, which finds a local maximum in the posterior distribution of a Markov random field

In statistics, iterated conditional modes is a deterministic algorithm for obtaining a configuration of a local maximum of the joint probability of a Markov random field. It does this by iteratively maximizing the probability of each variable conditioned on the rest.

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