The influence of observation sequence features on the performance of the Bayesian hidden Markov model: A Monte Carlo simulation study. [PDF]
PLoS ONEThe hidden Markov model is a popular modeling strategy for describing and explaining latent process dynamics. There is a lack of information on the estimation performance of the Bayesian hidden Markov model when applied to categorical, one-level data. We
Jan-Willem Simons +2 more
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International Clinical Neuroscience Journal, 2022 Background: In this study, three detecting approaches have been proposed and evaluated for online detection of balance situations during quiet standing.
Rashin Abdolhossein Harisi +1 more
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Customer Behaviour Hidden Markov Model
Mathematics, 2022 In this work, the Customer behaviour hidden Markov model (CBHMM) is proposed to predict the behaviour of customers in e-commerce with the goal to forecast the store income. The model consists of three sub-models: Vendor, Psychology and Loyalty, returning
Ales Jandera, Tomas Skovranek
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ToPS: a framework to manipulate probabilistic models of sequence data. [PDF]
PLoS Computational Biology, 2013 Discrete Markovian models can be used to characterize patterns in sequences of values and have many applications in biological sequence analysis, including gene prediction, CpG island detection, alignment, and protein profiling.
André Yoshiaki Kashiwabara +5 more
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Driving style recognition method using braking characteristics based on hidden Markov model. [PDF]
PLoS ONE, 2017 Since the advantage of hidden Markov model in dealing with time series data and for the sake of identifying driving style, three driving style (aggressive, moderate and mild) are modeled reasonably through hidden Markov model based on driver braking ...
Chao Deng +3 more
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A Novel Human-Vehicle Interaction Assistive Device for Arab Drivers Using Speech Recognition
IEEE Access, 2022 About one-quarter of all car collisions in the United States are caused by distracted driving, and this ratio is expected to rise. As vehicles are equipped with more elaborate and complex technology, human-vehicle interaction via dashboard displays and ...
Ghadeer A. Jaradat +2 more
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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 +2 more
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SOLUTION TO EVALUATION PROBLEM OF HIDDEN SEMI-MARKOV QP-MODELS
Advanced Engineering Research, 2014 A hidden semi-Markov QP-model is considered; and the way it could be embedded in a general hidden semi-Markov model is shown. The estimation problem (the first of three classical theory problems of the hidden Markov models and hidden semi-Markov models ...
V. M. Deundyak, M. A. Zhdanova
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Using multiple visual tandem streams in audio-visual speech recognition [PDF]
, 2011 The method which is called the "tandem approach" in speech recognition has been shown to increase performance by using classifier posterior probabilities as observations in a hidden Markov model.
Erdogan, Hakan +3 more
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Flexible and practical modeling of animal telemetry data: hidden Markov models and extensions [PDF]
, 2012 We discuss hidden Markov-type models for fitting a variety of multistate random walks to wildlife movement data. Discrete-time hidden Markov models (HMMs) achieve considerable computational gains by focusing on observations that are regularly spaced in ...
Langrock, R. +5 more
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