Variational Probabilistic Inference and the Qmr-dt Database

Abstract

We describe a variational approximation method for eecient inference in large-scale probabilistic models. Variational methods are deterministic procedures that provide approximations to marginal and conditional probabilities of interest. They provide alternatives to approximate inference methods based on stochastic sampling or search. We describe a… (More)

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