Gene finding with a hidden Markov model of genome structure and evolution. by Pedersen, J, Hein, J

“…This type of model is called an Evolutionary Hidden Markov Model (EHMM), being composed of an HMM and a set of region-specific evolutionary models based on a phylogenetic tree. …”

Computationally intensive methods for Hidden Markov Models with applications to statistical genetics by Kecskemethy, P

“…</p> <p>This work attempts to explore avenues for achieving high performance for Hidden Markov Models (HMMs) and HMM applications in population genetics.…”

Estimation of Coupled Hidden Markov Models with application to biosignal interaction modelling by Rezek, I, Roberts, S

Task-evoked dynamic network analysis through hidden Markov modelling by Quinn, A, Vidaurre, D, Abeysuriya, R, Becker, R, Nobre, A, Woolrich, M

“…Here, we present one potential solution using Hidden Markov Models (HMMs), which are able to identify brain states characterised by engaging distinct functional networks that reoccur over time. …”

Using hidden Markov models and observed evolution to annotate viral genomes. by McCauley, S, Hein, J

“…In this paper differentiated nucleotide compositional patterns in overlapping regions are incorporated into a probabilistic hidden Markov model (HMM) framework which is used to annotate ssRNA viral genomes. …”

Characterizing an outbreak of vancomycin-resistant enterococci using hidden Markov models. by McBryde, E, Pettitt, A, Cooper, B, McElwain, D

“…METHODS AND FINDINGS: A structured continuous-time hidden Markov model (HMM) was developed. The hidden states were the number of VRE-colonized patients (both detected and undetected). …”

Using Hidden Markov Models for daily rainfall occurrence in Penisular Malaysia by Yusof, Fadhilah, Tan, Wei Lun, Yusop, Zulkifli

Using principal component analysis and hidden markov model for hand recognition systems / by Abd. Manan Ahmad, author, Luqman Al Hakim Zainal Abidin, author, Abdullah Bade, author, International Conference on Advanceds Computer Theory and Engineering (2th : 2009 ; Giro, Eggpt)

Offline handwriting recognition using artificial neural network and Hidden Markov model / by 233023 Tay, Yong Haur

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Modelling malaysian high percipitation anomaly via nonhomogeneous hidden markov model / by 244496 Liew, J. N., Md. Noorani, M. S., Tangang, F. T.

Heart diagnostic system using hidden markov model (HMM) [electronic resource] / by 400146 Rajeet Kaur Sarmok Singh, Fakulti Kejuruteraan Elektrik

Hybrid hidden markov model and multilayer perceptron for speech recognition [electronic resource] / by 234469 Lim, Ying Sean

Computer-based stuttered speech detection system using Hidden Markov Model / by Chin, Wee Lip, 1986-, author, Tan, Tian Swee, supervisor, Fakulti Biosains dan Kejuruteraan Perubatan

A REVERSIBLE HIDDEN MARKOV MODEL FOR DIAGNOSIS AND PROGNOSIS OF MACHINERY VIBRATION FAULTS / by Somia Alfatih Mohamed Saeed, 1984, author 557200, Mohd. Salman Leong, 1954-, supervisor 236234, Lim, Meng Hee, 1977-, supervisor 490334, Fakulti Teknologi dan Informatik Razak 619091

A REVERSIBLE HIDDEN MARKOV MODEL FOR DIAGNOSIS AND PROGNOSIS OF MACHINERY VIBRATION FAULTS / by Somia Alfatih Mohamed Saeed, 1984, author- 557200, Mohd. Salman Leong, 1954-, supervisor 236234, Lim, Meng Hee, 1977-, supervisor 490334, Fakulti Teknologi dan Informatik Razak 619091

Malay continuous speech recognition using continuous density hidden Markov model / by 222875 Ting, Chee Ming

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Linear discriminant analysis based hidden Markov model for detection of Mysticetes’ vocalisations by O.M. Ogundile, A.A. Owoade, O.O. Ogundile, O.P. Babalola

“…Machine learning (ML) tools such as Gaussian mixture models (GMMs), support vector machines (SVMs), and hidden Markov models (HMMs) have been adopted in recent times to proffer analytic solutions to automatically detect and study these cryptic vocalisations. …”
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A Hidden Markov Model-Based Network Security Posture Prediction Model by Yang Xiaoping

“…As a key technology of network security situational awareness, this paper focuses on network security situational prediction technology and proposes a new network security situational prediction model based on Hidden Markov Model. The paper proposes a network security posture prediction method based on the improved Hidden Markov Model for the problem that the Baum-Welch parameter training method of the traditional Hidden Markov Model for posture prediction is sensitive to initial values and easily falls into local optimum. …”
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Hybridization of a hidden Markov model using Elman neural network with application by Omar Qasim

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Individualized post-crisis monitoring of psychiatric patients via Hidden Markov models by Roger Garriga, Roger Garriga, Vicenç Gómez, Gábor Lugosi, Gábor Lugosi, Gábor Lugosi

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