Integrating Probabilistic Rules into Neural Networks: A Stochastic EM Learning Algorithm

Gerhard Paass

The EM-algorithm is a general procedure to get maximum likelihood estimates if part of the observations on the variables of a network are missing. In this paper a stochastic versio…