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Building Simple Hidden Markov Models. Classroom Notes

Authors :
Ching, Wai-Ki
Ng, Michael K.
Source :
International Journal of Mathematical Education in Science and Technology. Jan 2004 35(2):296-299.
Publication Year :
2004

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.

Details

Language :
English
ISSN :
0020-739X
Volume :
35
Issue :
2
Database :
ERIC
Journal :
International Journal of Mathematical Education in Science and Technology
Publication Type :
Academic Journal
Accession number :
EJ681903
Document Type :
Journal Articles<br />Numerical/Quantitative Data<br />Reports - Descriptive