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Title

A note on estimation of states in HMM with unknown parameters

Author

Yasunari Maeda, Fumito Masui, Masakiyo Suzuki

Citation

Vol. 11  No. 4  pp. 63-67

Abstract

Estimation of states in HMM(Hidden Markov Model) with unknown parameters is very important topic in many fields. In this paper we propose an optimal estimation method which minimizes an error rate with reference to the Bayes criterion. We also propose approximate method in order to reduce computational complexity.

Keywords

estimation of states, Hidden Markov Model, statistical decision theory, error rate

URL

http://paper.ijcsns.org/07_book/201104/20110408.pdf