Results 231 to 240 of about 204,193 (268)
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On Triangular Mappings of Gaussian Measures

Mathematical Notes, 2019
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Bukin, D. B., Krugova, E. P.
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Multiple Kernel Learning with Gaussianity Measures

Neural Computation, 2012
Kernel methods are known to be effective for nonlinear multivariate analysis. One of the main issues in the practical use of kernel methods is the selection of kernel. There have been a lot of studies on kernel selection and kernel learning. Multiple kernel learning (MKL) is one of the promising kernel optimization approaches.
Hino, Hideitsu   +2 more
openaire   +2 more sources

On Weak Convergence of Gaussian Measures

Theory of Probability & Its Applications, 1988
See the review in Zbl 0641.60004.
openaire   +3 more sources

Local Field Gaussian Measures

1989
A pervasive undercurrent in the study of Gaussian measures is that they are the class of probability measures which it is natural to study if one requires that we see probabilistic properties which are consonant with the linearity and orthogonality properties of the spaces on which the measures are defined. For instance, one entry point into the theory
openaire   +1 more source

Time to add screening for financial hardship as a quality measure?

Ca-A Cancer Journal for Clinicians, 2021
Cathy J Bradley   +2 more
exaly  

[Correlate non-Gaussian measurement].

Revue d'epidemiologie et de sante publique, 1988
A general approach for measuring correlation in non-normal populations is presented. Two ways of tackling the problem are considered. The first relies on an explicit parametric model and some non-elementary notions from probability theory. The second, which relies on a wide class of bivariate laws of which the bivariate normal one is a special case, is
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Gaussian Process Regression for Materials and Molecules

Chemical Reviews, 2021
Volker L Deringer   +2 more
exaly  

Analyticity of Gaussian Measures

Theory of Probability & Its Applications, 1982
openaire   +2 more sources

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