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ERIC Number: EJ681903
Record Type: Journal
Publication Date: 2004-Jan-1
Pages: 4
Abstractor: Author
ISBN: N/A
ISSN: ISSN-0020-739X
EISSN: N/A
Building Simple Hidden Markov Models. Classroom Notes
Ching, Wai-Ki; Ng, Michael K.
International Journal of Mathematical Education in Science and Technology, v35 n2 p296-299 Jan 2004
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.
Descriptors: Markov Processes, Probability, Mathematical Models, Computation, Mathematics
Customer Services for Taylor & Francis Group Journals, 325 Chestnut Street, Suite 800, Philadelphia, PA 19106. Tel: 800-354-1420 (Toll Free); Fax: 215-625-8914.
Publication Type: Journal Articles; Numerical/Quantitative Data; Reports - Descriptive
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A