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Markov model

Known as: Hierarchical Markov model, Markov models 
In probability theory, a Markov model is a stochastic model used to model randomly changing systems where it is assumed that future states depend… (More)
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Topic mentions per year

1966-2017
050019662017

Related topics

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Alignment-free sequence analysisAncestral graphAsymmetric Numeral SystemsAugmented transition network
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Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Markov model
Mathematical model
Markov chain
Speech recognition
Entropy
Natural language processing

Papers overview

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Highly Cited
2001
Highly Cited
2001
The Infinite Hidden Markov Model
We show that it is possible to extend hidden Markov models to have a countably infinite number of hidden states. By using the… (More)
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Highly Cited
2001
Highly Cited
2001
Hidden Markov models Sean
I n t r o d u c t i o n Computational analysis is increasingly important for inferring the functions and structures of proteins… (More)
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Highly Cited
1999
Highly Cited
1999
Finite-state Markov model for Rayleigh fading channels
In this paper we form a finite-state Markov channel model to represent Rayleigh fading channels. We develop and analyze a… (More)
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Highly Cited
1998
Highly Cited
1998
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we… (More)
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Highly Cited
1998
Highly Cited
1998
A Hidden Markov Model for Predicting Transmembrane Helices in Protein Sequences
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
Hidden Markov models for detecting remote protein homologies
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
1996
Highly Cited
1996
Real-Time American Sign Language Recognition from Video Using Hidden Markov Models
Hidden Markov models (HMM’s) have been used prominently and successfully in speech recognition and, more recently, in handwriting… (More)
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Highly Cited
1995
Highly Cited
1995
Factorial Hidden Markov Models
Hidden Markov models (HMMs) have proven to be one of the most widely used tools for learning probabilistic models of time series… (More)
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Highly Cited
1992
Highly Cited
1992
Recognizing human action in time-sequential images using hidden Markov model
This paper proposes a new human action recognition method baaed on a Hidden Markov Model (HMM). We do not adopt model-based top… (More)
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Highly Cited
1989
Highly Cited
1989
Speaker-independent phone recognition using hidden Markov models
In this paper, we extend hidden Markov modeling to speaker-independent phone recognition. Using multiple codebooks of various LPC… (More)
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