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Hidden semi-Markov models [PDF]
Artificial Intelligence, 2010 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Shun-Zheng Yu
exaly +3 more sources
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 +6 more sources
Automatic Harmonization Using a Hidden Semi-Markov Model
Proceedings of the AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2021 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.
Ryan Groves
semanticscholar +3 more sources
Target Location Method Based on Compressed Sensing in Hidden Semi Markov Model
Electronics (Switzerland), 2022 A compressive sensing-based target localization method based on hidden semi-Markov model (HsMM) is proposed to address problems like unpredictable data and the multipath effect of the Receive Signal Strength (RSS) in indoor localization.
Xin Tian, Guoliang Wei, Wei Guoliang
exaly +2 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 +2 more
doaj +2 more sources
A Novel Health Prognosis Method for a Power System Based on a High-Order Hidden Semi-Markov Model
Energies, 2021 Power system health prognosis is a key process of condition-based maintenance. For the problem of large error in the residual lifetime prognosis of a power system, a novel residual lifetime prognosis model based on a high-order hidden semi-Markov model ...
Qinming Liu +4 more
doaj +2 more sources
Applied Sciences, 2020 Heart sound segmentation (HSS) is a critical step in heart sound processing, where it improves the interpretability of heart sound disease classification algorithms.
Yibo Yin, Kainan Ma, Ming Liu
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 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
doaj +2 more sources
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
doaj +2 more sources
Decision Support Systems, 2015 The rapid development of information technology enables an increasing number of consumers to search and book products/services online first and then to consume them in brick-and-mortar stores. This new e-commerce model is called online to offline (O2O) e-
Shengsheng Xiao
exaly +2 more sources