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

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2 Author(s)
Sheng Ma ; Dept. of Electr. Comput. & Syst. Eng., Rensselaer Polytech. Inst., Troy, NY, USA ; Chuanyi Ji

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

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Signal Processing, IEEE Transactions on  (Volume:46 ,  Issue: 8 )