Expectation Propagation (EP) is a technique in Bayesian machine learning. EP finds approximations to a probability distribution. It uses an iterative approach that leverages the factorization structure of the target distribution. It differs from other Bayesian approximation approaches such as Variational Bayesian methods. … Expectation Propagation (EP)
If you did not already know: “Expectation Propagation (EP)”
11 Saturday Apr 2015
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