The Hierarchical Dirichlet Process Hidden Semi-Markov Model [PDF]
, 2012 There is much interest in the Hierarchical Dirichlet Process Hidden Markov Model (HDP-HMM) as a natural Bayesian nonparametric extension of the traditional HMM. However, in many settings the HDP-HMM's strict Markovian constraints are undesirable, particularly if we wish to learn or encode non-geometric state durations.
Matthew Johnson, Alan S. Willsky
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Optimal detection and error exponents for hidden semi-Markov models [PDF]
IEEE Journal of Selected Topics in Signal Processing, 2018 We study detection of random signals corrupted by noise that over time switch their values (states) between a finite set of possible values, where the switchings occur at unknown points in time. We model such signals as hidden semi-Markov signals (HSMS),
Bajović, Dragana +4 more
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Decoding Chinese stock market returns: three-state hidden semi-Markov model [PDF]
Pacific-Basin Finance Journal, 2017 In this paper, we employ a three-state hidden semi-Markov model (HSMM) to explain the time-varying distribution of the Chinese stock market returns since 2005.
Liu, Zhenya, Wang, Shixuan
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The Effects of Mindfulness on Brain Network Dynamics Following an Acute Stressor in a Population of Drinking Adults [PDF]
Brain SciencesBackground: Previous research has found that mindfulness-based techniques are beneficial for reducing stress in heavy-drinking individuals. However, the underlying neurobiology of these stress-reducing effects are unclear.
Shannon M. O’Donnell +6 more
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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 +2 more
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Detection of sedentary time and bouts using consumer-grade wrist-worn devices: a hidden semi-Markov model [PDF]
BMC Medical Research MethodologyBackground Wrist-worn data from commercially available devices has potential to characterize sedentary time for research and for clinical and public health applications.
Agus Salim +11 more
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Seasonal movement behavior of domestic goats in response to environmental variability and time of day using Hidden Markov Models [PDF]
Movement EcologyBackground Current research on livestock movement ecology focuses on quantifying the factors that trigger alterations in movement behavior and understanding hidden mechanisms.
Hua Cheng +4 more
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Automatic Harmonization Using a Hidden Semi-Markov Model
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2013 Hidden Markov Models have been used frequently in the audio domain to identify underlying musical structure. Much less work has been done in the purely symbolic realm. Recently, a substantial amount of expert-labelled symbolic musical data has been injected into the research community.
Ryan Groves
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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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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
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