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A modified hidden Markov model
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DOI：10.1016/j.automatica.2013.09.012.png)
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摘要
En 中文
This paper considers two discrete time, finite state processes X and Y. In the usual hidden Markov model X modulates the values of Y. However, the values of Y are then i.i.d. given X. In this paper a new model is considered where the Markov chain X modulates the transition probabilities of the second, observed chain Y. This more realistically can represent problems arising in DNA sequencing. Algorithms for all related filters, smoothers and parameter estimations are derived. Versions of the Viterbi algorithms are obtained. (C) 2013 Elsevier Ltd. All rights reserved.
Keyword:
Hidden Markov model
Genome sequencing
Filter
Smoother
EM algorithm
Parameter estimation
Viterbi estimates
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期刊
IF:
5.9
论文数:
1.2W
被引数:
5.2W
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A TUTORIAL ON HIDDEN MARKOV-MODELS AND SELECTED APPLICATIONS IN SPEECH RECOGNITION关于语音识别中的隐马尔可夫模型和选定应用的教程.png)
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