Results 41 to 50 of about 1,235,780 (284)
Geometric Inference on Kernel Density Estimates [PDF]
, 2015 We show that geometric inference of a point cloud can be calculated by examining its kernel density estimate with a Gaussian kernel. This allows one to consider kernel density estimates, which are robust to spatial noise, subsampling, and approximate ...
Phillips, Jeff M., Wang, Bei, Zheng, Yan
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Hierarchical Kernel And Sub-Kernels [PDF]
American Review of Mathematics and Statistics, 2017 This paper shows the theoretical development of hierarchy by kernels and an algorithm used to obtain an interesting class or partition from a hierarchy. Also shown is the theorem about the Kernels Optimal Criterion and how it is expressed as a function of the masses of the points of the vector space and product scale points, the inertia of the cloud ...
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On the Kernel of a Polynomial of Scalar Derivations
Mathematics, 2020 In this paper, by using a vector variable, the procedure of characteristic systems allows us to describe the kernel of a polynomial of scalar derivations by solving Cauchy Problems for the corresponding system of ODEs. Moreover, a gradient representation
Savin Treanţă
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Analysis in Theory and Applications, 2009 Summary: This paper is an extension of earlier papers [\textit{R. Schaback}, in: New developments in approximation theory. 2nd international Dortmund meeting (IDoMAT) '98, Germany, February 23-27, 1998. Basel: Birkhäuser. ISNM, Int. Ser. Numer. Math. 132, 255--282 (1999; Zbl 0944.46017); J. Comput. Appl. Math.
Mouattamid, Mohammed, Schaback, Robert
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, 2016 Kernel mean embeddings have recently attracted the attention of the machine learning community. They map measures $ $ from some set $M$ to functions in a reproducing kernel Hilbert space (RKHS) with kernel $k$. The RKHS distance of two mapped measures is a semi-metric $d_k$ over $M$. We study three questions.
Simon-Gabriel, C., Schölkopf, B.
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Future Internet, 2016 The Windows Operating System (OS) is the most popular desktop OS in the world, as it has the majority market share of both servers and personal computing necessities. However, as its default signature-based security measures are ineffectual for detecting
Waqas Haider +3 more
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Bounded and multiperiodic solutions of the system of partial integro-differential equations
Қарағанды университетінің хабаршысы. Математика сериясы, 2019 The system of partial integro - differential equations with an operator of differentiation with respect to directions of vector field is considered. The considering integro - differential equation does not contain space variables.
G.M. Aitenova +3 more
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Probability density estimation with tunable kernels using orthogonal forward regression [PDF]
, 2009 A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimation process determines a tunable kernel, namely, its center vector and ...
Chen, S., Harris, Chris J., Hong, Xia
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Quantum tomography, phase space observables, and generalized Markov kernels
, 2009 We construct a generalized Markov kernel which transforms the observable associated with the homodyne tomography into a covariant phase space observable with a regular kernel state.
Abramowitz M +15 more
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NLO Corrections to the kernel of the BKP-equations
, 2012 We present results for the NLO kernel of the BKP equations for composite states of three reggeized gluons in the Odderon channel, both in QCD and in N=4 SYM.
Bartels, J. +3 more
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