Results 171 to 180 of about 11,485 (217)
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Linear and multilinear algebra, 2018
A reproducing kernel Hilbert space is a Hilbert space of complex-valued functions on a (non-empty) set Ω, which has the property that point evaluation is continuous on for all .
U. Yamancı, M. Garayev, Ceren Çelik
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A reproducing kernel Hilbert space is a Hilbert space of complex-valued functions on a (non-empty) set Ω, which has the property that point evaluation is continuous on for all .
U. Yamancı, M. Garayev, Ceren Çelik
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The Henderson Smoother in Reproducing Kernel Hilbert Space
Journal of Business & Economic Statistics, 2008The Henderson smoother has been traditionally applied for trend-cycle estimation in the context of nonparametric seasonal adjustment software officially adopted by statistical agencies. This study introduces a Henderson third-order kernel representation by means of the reproducing kernel Hilbert space (RKHS) methodology.
DAGUM, ESTELLE BEE, BIANCONCINI, SILVIA
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Reproducing Kernel Hilbert Spaces
2019This chapter introduces an elegant mathematical theory that has been developed for nonparametric regression with penalized estimation.
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Reproducing kernel Hilbert space method for nonlinear boundary‐value problems
Mathematical methods in the applied sciences, 2018Reproducing kernel Hilbert space method is given for nonlinear boundary‐value problems in this paper. Applying this technique, we establish a new algorithm to approximate the solution of such nonlinear boundary‐value problems.
Esra Karatas Akgül
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On isomorphism of reproducing kernel Hilbert spaces
Doklady Mathematics, 2017Reproducing kernel Hilbert spaces having orthogonally similar decomposition systems are considered. Conditions under which such spaces coincide or are isomorphic are found.
V. V. Napalkov, V. V. Napalkov
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A reproducing kernel Hilbert space approach in meshless collocation method
Computational and Applied Mathematics, 2017In this paper, we combine the theory of the reproducing kernel Hilbert spaces with the field of collocation methods to solve boundary value problems with a special emphasis on the reproducing property of kernels.
B. Azarnavid +3 more
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Sparse online kernelized actor-critic Learning in reproducing kernel Hilbert space
Artificial Intelligence Review, 2021Yongliang Yang +5 more
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Reproducing Kernel Hilbert Space
Wiley StatsRef: Statistics Reference Online, 2017space, feature map and kernel function. Given the data {(xi, yi), i = 1, · · · , n}, where xi ∈ X ⊆ R2 is the representation of feature and yi is the target value. Here, xi is two dimension.
Palle E. T. Jorgensen, Feng Tian
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Sampling in Reproducing Kernel Hilbert Space [PDF]
, 2014 An account of sampling in the setting of reproducing kernel spaces is given, the main point of which is to show that the sampling theory of Kluvanek, even though it is very general in some respects, is nevertheless a special case of the reproducing kernel theory. A Dictionary is provided as a handy summary of the essential steps.
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, 2014
Penalized regression procedures have become a very popular approach to estimating the curve of nonparametric regression in longitudinal data. Reproducing Kernel Hilbert Space (RKHS) is Reproducing Kernel Hilbert Space (RKHS) play a central role in ...
Adji Achmad +5 more
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Penalized regression procedures have become a very popular approach to estimating the curve of nonparametric regression in longitudinal data. Reproducing Kernel Hilbert Space (RKHS) is Reproducing Kernel Hilbert Space (RKHS) play a central role in ...
Adji Achmad +5 more
semanticscholar +1 more source