Hidden Markov Model

Known as: HMM 
A statistical model in which the system being modeled has unknown parameters, but the hidden parameters can be determined from the observable… (More)
National Institutes of Health

Topic mentions per year

Topic mentions per year

1984-2017
05010015019842017

Papers overview

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Highly Cited
2007
Highly Cited
2007
Comprehensive identification and cataloging of copy number variations (CNVs) is required to provide a complete view of human… (More)
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Highly Cited
2007
Highly Cited
2007
The genealogical relationship of human, chimpanzee, and gorilla varies along the genome. We develop a hidden Markov model (HMM… (More)
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Highly Cited
2005
Highly Cited
2005
This paper represents an ongoing investigation of dexterous and natural control of upper extremity prostheses using the… (More)
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Highly Cited
2003
Highly Cited
2003
In emotion classification of speech signals, the popular features employed are statistics of fundamental frequency, energy… (More)
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Highly Cited
1998
Highly Cited
1998
A novel method to model and predict the location and orientation of alpha helices in membrane-spanning proteins is presented. It… (More)
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Highly Cited
1998
Highly Cited
1998
MOTIVATION A new hidden Markov model method (SAM-T98) for finding remote homologs of protein sequences is described and evaluated… (More)
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Highly Cited
1997
Highly Cited
1997
This study describes a new Hidden Markov Model (HMM) system for segmenting uncharacterized genomic DNA sequences into exons… (More)
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Highly Cited
1994
Highly Cited
1994
Hidden Markov model (HMM) techniques are used to model families of biological sequences. A smooth and convergent algorithm is… (More)
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Highly Cited
1994
Highly Cited
1994
A hidden Markov model (HMM) has been developed to find protein coding genes in E. coli DNA using E. coli genome DNA sequence from… (More)
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Highly Cited
1993
Highly Cited
1993
In this paper, we discuss the problem of how human skill can be represented as a parametric model using a hidden Markov model… (More)
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