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Classroom note: Building simple hidden Markov models
Authors:Wai-Ki Ching †  Michael K. Ng
Affiliation:Department of Mathematics , The University of Hong Kong , Pokfulam Road, Hong Kong, China E-mail: wkc@math.hku.hk mng@math.hku.hk
Abstract:Hidden Markov models (HMMs) are widely used in bioinformatics, speech recognition and many other areas. This note presents HMMs via the framework of classical Markov chain models. A simple example is given to illustrate the model. An estimation method for the transition probabilities of the hidden states is also discussed.
Keywords:
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