Results 31 to 40 of about 14,908,682 (295)
Hidden Markov Model Application to Transfer The Trader Online Forex Brokers
Cauchy: Jurnal Matematika Murni dan Aplikasi, 2012 Hidden Markov Model is elaboration of Markov chain, which is applicable to cases that can’t directly observe. In this research, Hidden Markov Model is used to know trader’s transition to broker forex online.
Farida Suharleni +2 more
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Bayesian fusion of hidden Markov models for understanding bimanual movements [PDF]
, 2004 Understanding hand and body gestures is a part of a wide spectrum of current research in computer vision and human-computer interaction. A part of this can be the recognition of movements in which the two hands move simultaneously to do something or ...
A. Sutherland +5 more
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Hidden Semi-Markov Models-Based Visual Perceptual State Recognition for Pilots
Sensors, 2023 Pilots’ loss of situational awareness is one of the human factors affecting aviation safety. Numerous studies have shown that pilot perception errors are one of the main reasons for a lack of situational awareness without a proper system to detect these ...
Lina Gao, Changyuan Wang, Gongpu Wu
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Option pricing using hidden Markov models [PDF]
, 2006 Includes bibliographical references (leaves 144-149).This work will present an option pricing model that accommodates parameters that vary over time, whilst still retaining a closed-form expression for option prices: the Hidden Markov Option Pricing ...
Anderson, Michael
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Research on HMM based link prediction method in heterogeneous network
Tongxin xuebao, 2022 In order to solve the problem that incomplete mining of structural information and semantic information in heterogeneous networks, a link prediction method combining meta-path-based analysis and hidden Markov model was proposed for link prediction of ...
Rong QIAN +4 more
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The Application of Baum-Welch Algorithm in Multistep Attack
The Scientific World Journal, 2014 The biggest difficulty of hidden Markov model applied to multistep attack is the determination of observations. Now the research of the determination of observations is still lacking, and it shows a certain degree of subjectivity.
Yanxue Zhang, Dongmei Zhao, Jinxing Liu
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Broad Phonetic Classification of ASR using Visual Based Features [PDF]
The Egyptian Journal of Language Engineering, 2020 : This paper presents a novel method of classifying speech phonemes. Four hybrid techniques based on the acoustic-phonetic approach and pattern recognition approach are used to emphasize the principle idea of this research.
Doaa Lehabik +3 more
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Asymmetric hidden Markov models [PDF]
International Journal of Approximate Reasoning, 2017 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marcos L. P. Bueno +3 more
openaire +4 more sources
Study on driver’s turning intention recognition hybrid model of GHMM and GGAP-RBF neural network
Advances in Mechanical Engineering, 2018 The accuracy and real time are crucial in turning intention recognition. Therefore, a hybrid model of Gaussian mixture hidden Markov and generalized growing and pruning algorithm for radial basis function neural network is constructed to recognize driver
Shu Wang, Qiang Yu, Xuan Zhao
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Theory and Inference for a Markov-Switching GARCH Model [PDF]
We develop a Markov-switching GARCH model (MS-GARCH) wherein the conditional mean and variance switch in time from one GARCH process to another. The switching is governed by a hidden Markov chain. We provide sufficient conditions for geometric ergodicity
Jeroen V.K. Rombouts +2 more
core +6 more sources