Results 1 to 10 of about 52,894 (166)
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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Factorial Hidden Markov Models [PDF]
Machine Learning, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zoubin Ghahramani, Michael I. Jordan
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Topological Hidden Markov Models
J. Mach. Learn. Res., 2022 32 pages, 8 figures, 6 ...
Adam B. Kashlak +2 more
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Hidden Markov Modeling with HMMTeacher
PLOS Computational Biology, 2022 Is it possible to learn and create a first Hidden Markov Model (HMM) without programming skills or understanding the algorithms in detail? In this concise tutorial, we present the HMM through the 2 general questions it was initially developed to answer and describe its elements.
Camilo Fuentes-Beals +2 more
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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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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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Hidden Markov Models with Momentum
CoRR, 2022 Momentum is a popular technique for improving convergence rates during gradient descent. In this research, we experiment with adding momentum to the Baum-Welch expectation-maximization algorithm for training Hidden Markov Models. We compare discrete Hidden Markov Models trained with and without momentum on English text and malware opcode data.
Andrew Miller +2 more
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