Results 21 to 30 of about 41,241 (143)
fHMM: Hidden Markov Models for Financial Time Series in R
Journal of Statistical SoftwareHidden Markov models constitute a versatile class of statistical models for time series that are driven by hidden states. In financial applications, the hidden states can often be linked to market regimes such as bearish and bullish markets or ...
Lennart Oelschläger +2 more
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Recognition of Warping Face Image and Morphing Face Image of Two Warping Image Using Hidden Markov Model [PDF]
المجلة العراقية للعلوم الاحصائية, 2011 In this paper, using algorithm models of Hidden Markov models, it has been concluded that the possibility of recognizing the warp face and the morph face the image real departments face on recognizing object.
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Hidden Markov models for stochastic thermodynamics
New Journal of Physics, 2015 The formalism of state estimation and hidden Markov models can simplify and clarify the discussion of stochastic thermodynamics in the presence of feedback and measurement errors.
John Bechhoefer
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A SLAM system based on Hidden Markov Models
Информатика и автоматизация, 2022 Methods of simultaneous localization and mapping (SLAM) are a solution for the navigation problem of service robots. We present a graph SLAM system based on Hidden Markov Models (HMM) where the sensor readings are represented with different symbols using
Oscar Fuentes +2 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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Semi-Markov and hidden semi-Markov models of energy systems
E3S Web of Conferences, 2018 The problem of information control systems creation for energy systems and transition to intelligent control and engineering is one of the important problems of reliability and efficiency theory for energy systems.
Obzherin Yuriy E.
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Identification of reindeer fine-scale foraging behaviour using tri-axial accelerometer data
Movement Ecology, 2022 Animal behavioural responses to the environment ultimately affect their survival. Monitoring animal fine-scale behaviour may improve understanding of animal functional response to the environment and provide an important indicator of the welfare of both ...
Heidi Rautiainen +3 more
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Riboswitch Detection Using Profile Hidden Markov Models
BMC Bioinformatics, 2009 Background Riboswitches are a type of noncoding RNA that regulate gene expression by switching from one structural conformation to another on ligand binding. The various classes of riboswitches discovered so far are differentiated by the ligand, which on
Krishnamachari A +4 more
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Hidden Markov models and neural networks in formation of investment portfolio
Учёные записки Казанского университета: Серия Физико-математические науки, 2018 Common mathematical models are used by investors for prediction of the future state of the financial market lose if the macroeconomic situation gets worse.
P.A. Novikov, R.R. Valiev
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Journal of Electrical Systems and Information Technology, 2017 This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham +2 more
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