Efficient algorithms for training the parameters of hidden Markov models using stochastic expectation maximization (EM) training and Viterbi training

Efficient algorithms for training the parameters of hidden Markov models using stochastic expectation maximization (EM) training and Viterbi training

<p>Abstract</p> <p>Background</p> <p>Hidden Markov models are widely employed by numerous bioinformatics programs used today. Applications range widely from comparative gene prediction to time-series analyses of micro-array data. The parameters of the underlying models...

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Bibliographic Details
Main Authors: Meyer Irmtraud M, Lam Tin Y
Format: Article
Language:English
Published: BMC 2010-12-01
Series:Algorithms for Molecular Biology
Online Access:http://www.almob.org/content/5/1/38

Internet

http://www.almob.org/content/5/1/38

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