Results 1 to 10 of about 524,352 (318)
Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering [PDF]
Journal of Classification, 2020 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Biernacki, Christophe +2 more
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Gaussian approximation of Gaussian scale mixtures [PDF]
Kybernetika, 2021 For a given positive random variable $V>0$ and a given $Z\sim N(0,1)$ independent of $V$, we compute the scalar $t_0$ such that the distance between $Z\sqrt{V}$ and $Z\sqrt{t_0}$ in the $L^2(\R)$ sense, is minimal. We also consider the same problem in several dimensions when $V$ is a random positive definite matrix.
Letac, Gérard, Massam, Hélène
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Positive Gaussian Kernels also Have Gaussian Minimizers [PDF]
Memoirs of the American Mathematical Society, 2022 We study lower bounds on multilinear operators with Gaussian kernels acting on Lebesgue spaces, with exponents below one. We put forward natural conditions when the optimal constant can be computed by inspecting centered Gaussian functions only, and we give necessary and sufficient conditions for this constant to be positive.
Barthe, Franck, Wolff, Pawel
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Electronic Research Archive, 2023 The eigenvalues and eigenvectors of a normalized gaussian operator do not seem to have been previously considered. I solve this problem for 1-dimensional translational systems.
R. F. Snider
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Modeling with generalized linear model on covid-19: Cases in Indonesia
International Journal of Electronics and Communications System, 2021 The ongoing Covid-19 outbreak has made scientists continue to research this Covid-19 case. Most of the research carried out is on the prediction and modeling of Covid-19 data. This study will also discuss Covid-19 data modeling.
Subian Saidi +2 more
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Indirect Gaussian Graph Learning Beyond Gaussianity [PDF]
IEEE Transactions on Network Science and Engineering, 2020 This paper studies how to capture dependency graph structures from real data which may not be Gaussian. Starting from marginal loss functions not necessarily derived from probability distributions, we utilize an additive over-parametrization with shrinkage to incorporate variable dependencies into the criterion.
Yiyuan She, Shao Tang, Qiaoya Zhang
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A compact weak measurement to observe the spin Hall effect of light
Nanophotonics, 2023 The spin Hall effect of light (SHEL), a microscopic and transverse splitting of linearly polarized light into circularly polarized components during refraction and reflection, can be measured at subnanometer scales using weak measurements and has emerged
Kim Minkyung
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A Robust Framework for Epidemic Analysis, Prediction and Detection of COVID-19
Frontiers in Public Health, 2022 Covid-19 has become a pandemic that affects lots of individuals daily, worldwide, and, particularly, the widespread disruption in numerous countries, namely, the US, Italy, India, Saudi Arabia. The timely detection of this infectious disease is mandatory
Farman Hassan +4 more
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The Generalization of Gaussians and Leonardo’s Octonions
Annales Mathematicae Silesianae, 2023 In order to explore the Leonardo sequence, the process of complex-ification of this sequence is carried out in this work. With this, the Gaussian and octonion numbers of the Leonardo sequence are presented.
Vieira Renata Passos Machado +3 more
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On the possibility of decomposition of complex photoluminescence spectra
Физико-химические аспекты изучения кластеров, наноструктур и наноматериалов, 2023 A method is proposed for decomposing the integrated photoluminescence spectrum into components based on the analysis of an identifier, which is the ratio of the first and second derivatives of the experimental data.
S.P. Kramynin, E.M. Zobov, M.E. Zobov
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