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- Expectation_propagation abstract "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 wikiPageExternalLink roadmap.html.
- Expectation_propagation wikiPageExternalLink ep.
- Expectation_propagation wikiPageID "14923880".
- Expectation_propagation wikiPageRevisionID "604292753".
- Expectation_propagation hasPhotoCollection Expectation_propagation.
- Expectation_propagation subject Category:Bayesian_statistics.
- Expectation_propagation subject Category:Machine_learning.
- Expectation_propagation comment "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 label "Expectation propagation".
- Expectation_propagation sameAs m.03h1s6r.
- Expectation_propagation sameAs Q5420835.
- Expectation_propagation sameAs Q5420835.
- Expectation_propagation wasDerivedFrom Expectation_propagation?oldid=604292753.
- Expectation_propagation isPrimaryTopicOf Expectation_propagation.