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# Estimation and Marginalization Using the Kikuchi Approximation Methods

@article{Pakzad2005EstimationAM, title={Estimation and Marginalization Using the Kikuchi Approximation Methods}, author={Payam Pakzad and Venkat Anantharam}, journal={Neural Computation}, year={2005}, volume={17}, pages={1836-1873} }

- Published 2005 in Neural Computation
DOI:10.1162/0899766054026693

In this letter, we examine a general method of approximation, known as the Kikuchi approximation method, for finding the marginals of a product distribution, as well as the corresponding partition function. The Kikuchi approximation method defines a certain constrained optimization problem, called the Kikuchi problem, and treats its stationary points as approximations to the desired marginals. We show how to associate a graph to any Kikuchi problem and describe a class of local message-passing… CONTINUE READING

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