A unified approach on fast training of feedforward and recurrentnetworks using EM algorithm

Authors:
Sheng Ma;Chuanyi Ji
Affiliations:
Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY;-
Venue:
IEEE Transactions on Signal Processing
Year:
1998

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Abstract

In this work, we provide a theoretical framework that unifies the notions of hidden representations and moving targets through the expectation and maximization (EM) algorithm. Based on such a framework, two fast training algorithms can be derived consistently for both feedforward networks and recurrent networks