Results 21 to 30 of about 21,477 (112)
Entropy, 2016 Based on the fast kernel entropy optimization independent component analysis and the minimum conditional entropy, this paper proposes a harmonic source localization method which aims at accurately estimating harmonic currents and identifying harmonic ...
Tianlei Zang +4 more
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Entropic information of dynamical AdS/QCD holographic models
Physics Letters B, 2016 The Shannon based conditional entropy that underlies five-dimensional Einstein–Hilbert gravity coupled to a dilaton field is investigated in the context of dynamical holographic AdS/QCD models.
Alex E. Bernardini, Roldão da Rocha
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Entropy, 2018 Entropy measures have been a major interest of researchers to measure the information content of a dynamical system. One of the well-known methodologies is sample entropy, which is a model-free approach and can be deployed to measure the information ...
Zahra Karevan, Johan A. K. Suykens
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Entropy, 2019 In the literature, we can find several blind adaptive deconvolution algorithms based on closed-form approximated expressions for the conditional expectation (the expectation of the source input given the equalized or deconvolutional output), involving ...
Monika Pinchas
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Information–Entropy Analysis of Stellar Evolutionary Stages with Application to FS CMa Objects
EntropyTheoretical foundations are presented for the application of information–entropy methods from statistical physics to the determination of stellar evolutionary stages. A balance equation involving normalized conditional information and entropy is proposed.
Zeinulla Zhanabaev +2 more
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Journal of Electrical and Computer Engineering, 2016 DDoS attacks can prevent legitimate users from accessing the service by consuming resource of the target nodes, whose availability of network and service is exposed to a significant threat. Therefore, DDoS traffic perception is the premise and foundation
Yuntao Zhao, Hengchi Liu, Yongxin Feng
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AxiomsWith the continuous expansion of databases, the extraction of information has been an urgent research topic in many fields. As an effective method to remove redundant attributes, attribute reduction demonstrates extraordinary ability in simplifying ...
Yanling Bao, Shumin Cheng
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Dissociating dynamic probability and predictability in observed actions – an fMRI study
Frontiers in Human Neuroscience, 2014 The present fMRI study investigated whether human observers spontaneously exploit the statistical structure underlying continuous action sequences. In particular, we tested whether two different statistical properties can be distinguished with regard to ...
Christiane eAhlheim +5 more
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Applied Sciences, 2020 To reduce hydrological disasters, it is necessary to operate rain gauge stations at locations where the spatio-temporal characteristics of rainfall can be reflected.
Taeyong Kwon +3 more
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Neighborhood conditional mutual information entropy attribute reduction algorithm for hybrid data
大数据, 2022 Attribute reduction is an important research content of the rough set theory.Its main purpose is to eliminate irrelevant attributes in information systems, reduce data dimensions and improve data knowledge discovery performance.However, most of the ...
Haibo LAN
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