A Variational Mean-Field Theory for Sigmoidal Belief Networks

Bhattacharyya, Chiranjib, Keerthi, S. Sathiya

Neural Information Processing Systems 

In this paper we will discuss a variational mean-field theory and its application to BNs, sigmoidal BNs in particular. We present a variational derivation of the mean-field theory, proposed by Plefka[2].

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