Results 11 to 20 of about 1,777,436 (249)
Some Properties of Reproducing Kernel Banach and Hilbert Spaces [PDF]
Sahand Communications in Mathematical Analysis, 2018 This paper is devoted to the study of reproducing kernel Hilbert spaces. We focus on multipliers of reproducing kernel Banach and Hilbert spaces. In particular, we try to extend this concept and prove some related theorems.
Saeed Hashemi Sababe, Ali Ebadian
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Reproducing Kernel Hilbert Spaces of Polyanalytic Functions of Infinite Order [PDF]
Integral equations and operator theory, 2021 In this paper we introduce reproducing kernel Hilbert spaces of polyanalytic functions of infinite order. First we study in details the counterpart of the Fock space and related results in this framework. In this case the kernel function is given by ezw¯+
D. Alpay +3 more
semanticscholar +5 more sources
Reproducing kernel Hilbert spaces of Gaussian priors [PDF]
, 2008 We review definitions and properties of reproducing kernel Hilbert spaces attached to Gaussian variables and processes, with a view to applications in nonparametric Bayesian statistics using Gaussian priors.
A. W. van der Vaart, J. H. van Zanten
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A Characterization for reproducing kernel Hilbert spaces [PDF]
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 ...
Grethel, Robert J.
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A Theorem on Reproducing Kernel Hilbert Spaces of Pairs [PDF]
Rocky Mountain Journal of Mathematics, 1992 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Alpay, Daniel, Daniel Alpay
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Learning Dynamical Systems via Koopman Operator Regression in Reproducing Kernel Hilbert Spaces [PDF]
Neural Information Processing Systems, 2022 We study a class of dynamical systems modelled as Markov chains that admit an invariant distribution via the corresponding transfer, or Koopman, operator.
V. Kostić +5 more
semanticscholar +1 more source
Iterative reproducing kernel Hilbert spaces method for Riccati differential equations
Journal of Computational and Applied Mathematics, 2017 Mehmet Giyas Sakar
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Reproducing kernel Hilbert spaces in the mean field limit [PDF]
Kinetic and Related Models, 2023 Kernel methods, being supported by a well-developed theory and coming with efficient algorithms, are among the most popular and successful machine learning techniques.
Christian Fiedler +4 more
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Robust Uncertainty Bounds in Reproducing Kernel Hilbert Spaces: A Convex Optimization Approach [PDF]
IEEE Transactions on Automatic Control, 2021 The problem of establishing out-of-sample bounds for the values of an unknown ground-truth function is considered. Kernels and their associated Hilbert spaces are the main formalism employed herein, along with an observational model where outputs are ...
Paul Scharnhorst +3 more
semanticscholar +1 more source
Проблемы анализа, 2021 We consider a reproducing kernel radial Hilbert space of entire functions and prove the equivalence of several sufficient conditions for the existence of unconditional bases of reproducing kernels in such spaces.
K. P. Isaev, R. S. Yulmukhametov
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