Results 1 to 10 of about 6,719 (190)

biomvRhsmm: genomic segmentation with hidden semi-Markov model. [PDF]

Biomed Res Int, 2014
High-throughput technologies like tiling array and next-generation sequencing (NGS) generate continuous homogeneous segments or signal peaks in the genome that represent transcripts and transcript variants (transcript mapping and quantification), regions of deletion and amplification (copy number variation), or regions characterized by particular ...
Du Y, Murani E, Ponsuksili S, Wimmers K.
europepmc   +5 more sources

Feature Selection for Hidden Markov Models and Hidden Semi-Markov Models

IEEE Access, 2016
In this paper, a joint feature selection and parameter estimation algorithm is presented for hidden Markov models (HMMs) and hidden semi-Markov models (HSMMs).
Stephen Adams, Peter A. Beling, Randy Cogill   +2 more
doaj   +2 more sources

Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model [PDF]

BMC Medical Research Methodology
Background Wrist-worn data from commercially available devices has potential to characterize sedentary time for research and for clinical and public health applications.
Agus Salim, Christian J. Brakenridge, Dulari Hakamuwa Lekamlage, Erin Howden, Ruth Grigg, Hayley T. Dillon, Howard D. Bondell, Julie A. Simpson, Genevieve N. Healy, Neville Owen, David W. Dunstan, Elisabeth A. H. Winkler   +11 more
doaj   +2 more sources

Seasonal movement behavior of domestic goats in response to environmental variability and time of day using Hidden Markov Models [PDF]

Movement Ecology
Background Current research on livestock movement ecology focuses on quantifying the factors that trigger alterations in movement behavior and understanding hidden mechanisms.
Hua Cheng, Kasper Johansen, Baocheng Jin, Guojun Sun, Matthew F. McCabe   +4 more
doaj   +2 more sources

Hidden Markov Model of System Elements Technical Maintenance by Age [PDF]

E3S Web of Conferences, 2020
Technical maintenance is between the methods of operation reliability and effectiveness increasing for systems of different purposes including power systems.
Obzherin Yuriy, Nikitin Mikhail, Sidorov Stanislav   +2 more
doaj   +1 more source

Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots

Sensors, 2023
Pilots’ loss of situational awareness is one of the human factors affecting aviation safety. Numerous studies have shown that pilot perception errors are one of the main reasons for a lack of situational awareness without a proper system to detect these ...
Lina Gao, Changyuan Wang, Gongpu Wu
doaj   +1 more source

Heavy tailed hidden semi-markov models [PDF]

Communications in Statistics. Stochastic Models, 1998
Summary: Hidden semi-Markov models have been proposed by \textit{K. S. Meier-Hellstern}, \textit{P. E. Wirth}, \textit{Y. L. Yan} and \textit{D. A. Hoeflin} [in: Teletraffic and datatraffic in a period of change (A. Jensen and V. B. Iversen (eds.)), 167-192 (1991)] to model the times between transmission of packets at a source.
Resnick, Sidney, Subramanian, Ajay
openaire   +1 more source

Hidden Semi-Markov Models for Predictive Maintenance [PDF]

Mathematical Problems in Engineering, 2015
Realistic predictive maintenance approaches are essential for condition monitoring and predictive maintenance of industrial machines. In this work, we propose Hidden Semi-Markov Models (HSMMs) with (i) no constraints on the state duration density function and (ii) being applied to continuous or discrete observation. To deal with such a type of HSMM, we
Francesco Cartella, Jan Lemeire, Luca Dimiccoli, Hichem Sahli   +3 more
openaire   +3 more sources

A Regularized Vector Autoregressive Hidden Semi-Markov model, with Application to Multivariate Financial Data

Proceedings of the International Florida Artificial Intelligence Research Society Conference, 2021
Hidden Markov model (HMM) has been a popular choice for financial time series modeling due to its advantage in capturing dynamic regimes. However, HMM's implicit assumption that the state duration follows a geometric distribution is too strong to hold in
Zekun Xu, Ye Liu
doaj   +1 more source

Improving Phoneme Sequence Recognition using Phoneme Duration Information in DNN-HSMM [PDF]

Journal of Artificial Intelligence and Data Mining, 2019
Improving phoneme recognition has attracted the attention of many researchers due to its applications in various fields of speech processing. Recent research achievements show that using deep neural network (DNN) in speech recognition systems ...
M. Asadolahzade Kermanshahi, M. M. Homayounpour   +1 more
doaj   +1 more source