Results 1 to 10 of about 44,665 (115)
Network motif detection using hidden markov models [PDF]
Scientific ReportsGraphical representations model complex networks by encoding entities as vertices and interactions as edges, with recurring subgraphs—or motifs—revealing fundamental organizational principles. We present a novel application of Hidden Markov Models (HMMs)
Costas Bampos, Vasileios Megalooikonomou
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Incorporating sparse labels into hidden Markov models using weighted likelihoods improves accuracy and interpretability in biologging studies. [PDF]
PLoS ONEEcologists often use a hidden Markov model to decode a latent process, such as a sequence of an animal's behaviours, from an observed biologging time series.
Evan Sidrow +6 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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Widely applicable information criterion for estimating the order in a hidden Markov model [PDF]
Songklanakarin Journal of Science and Technology (SJST), 2021 This paper considers the determination of the order of hidden Markov models. Recently, a proposed predictive measure, the so-called widely applicable information criterion (WAIC), was derived.
Safaa K. Kadhem, Sadeq A. Kadhim
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Visual tracking using interactive factorial hidden Markov models
IET Signal Processing, 2021 The authors present a novel tracking algorithm based on a factorial hidden Markov model (FHMM) that can utilise the structured information of a target.
Jin Wook Paeng, Junseok Kwon
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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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Frontiers in Ecology and Evolution, 2021 The study of animal behavioral states inferred through hidden Markov models and similar state switching models has seen a significant increase in popularity in recent years.
Giada Sacchi, Ben Swallow
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Improving the Recognition Rate of Phonetic Arabic Letters Via Artificial Intelligent [PDF]
The Egyptian International Journal of Engineering Sciences and Technology, 2020 It is very important to enhance the recognition accuracy of the Arabic spoken letters. The accuracy of recognition system is affected by the feature extraction and the used classifier. An effective and robust method is proposed to evaluate speech feature
I Zedan, E Mohamed, Z Aly
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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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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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