Results 101 to 110 of about 13,358 (271)
, 2017 A new approach based on the Reproducing Kernel Hilbert Space Method is proposed to approximate the solution of the second-kind nonlinear integral equations.
Sedigheh Farzaneh Javan +2 more
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Radial kernels and their reproducing kernel Hilbert spaces
Journal of Complexity, 2010 Let \(R\) be a continuous convex function on a Hilbert space \(H\). In learning theory, \[ A(\lambda):= \inf_{h\in H} \{\lambda\| h\|^2+ R(h)\}- \inf_{h\in H} R(h) \] is called an approximation error function. Here, \(H\) is a reproducing kernel Hilbert space (RKHS) of functions on \(\mathbb{R}^d\), i.e., such that the evaluations \(\delta_x: h\mapsto ...
Scovel, Clint +3 more
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A Characterization for reproducing kernel Hilbert spaces
Journal of Mathematical Analysis and Applications, 1974 AbstractLet G(t, s) be the Green's functions associated with N, a differential operator restricted to certain boundary conditions. Define (u, v)N = (Nu, v)L2. It is shown that the reproducing kernel Hilbert space generated by G is the same as the Hilbert-space completion with respect to ∥ · ∥N of the set of real valued functions which are in C2n and ...
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Flexible Expectile Regression in Reproducing Kernel Hilbert Spaces
Technometrics, 2017 Expectile, first introduced by Newey and Powell in 1987 in the econometrics literature, has recently become increasingly popular in risk management and capital allocation for financial institutions due to its desirable properties such as coherence and elicitability.
Yang, Yi, Zhang, Teng, Zou, Hui
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Cyclicity in reproducing kernel Hilbert spaces of analytic functions [PDF]
, 2013 Emmanuel Fricain +2 more
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Learning Rate of Regularized Regression Associated with Zonal Translation Networks
MathematicsWe give a systematic investigation on the reproducing property of the zonal translation network and apply this property to kernel regularized regression.
Xuexue Ran, Baohuai Sheng, Shuhua Wang
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High-Order Sequential Simulation via Statistical Learning in Reproducing Kernel Hilbert Space. [PDF]
Math Geosci, 2020 Yao L, Dimitrakopoulos R, Gamache M.
europepmc +1 more source
New Berezin symbol inequalities for operators on the reproducing kernel Hilbert space
Operators and Matrices, 2021 Ramiz Tapdigoglu
semanticscholar +1 more source
Some Lemmas on Reproducing Kernel Hilbert Spaces [PDF]
, 2002 Reproducing kernel Hilbert spaces (RKHS) provides a framework for approximation from finite data using the idea of bounded linear functionals. The approximation problem in this case can be viewed as the inverse problem of finding the optimum operator from the Euclidean space of observations to some subspace of the RKHS.
Dodd, T.J., Harrison, R.F.
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Reproducing Kernel Hilbert Space Associated with a Unitary\n Representation of a Groupoid [PDF]
, 2021 Monika Drewnik +2 more
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