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Iterated conditional modes

From Wikipedia, the free encyclopedia

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.

See also

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References

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  • Besag, J. E. (1986), "On the Statistical Analysis of Dirty Pictures", Journal of the Royal Statistical Society, Series B, 48 (3): 259–302, doi:10.1111/j.2517-6161.1986.tb01412.x, JSTOR 2345426