Functional reproducing kernel Hilbert spaces for non-point-evaluation functional data
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Publication:2415404
DOI10.1016/j.acha.2017.07.003zbMath1423.46046OpenAlexW2738048051MaRDI QIDQ2415404
Publication date: 21 May 2019
Published in: Applied and Computational Harmonic Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.acha.2017.07.003
average samplingregularized learningfunctional reproducing kernel Hilbert spacefunctional reproducing kernelnon-point-evaluation functional data
Learning and adaptive systems in artificial intelligence (68T05) Hilbert spaces with reproducing kernels (= (proper) functional Hilbert spaces, including de Branges-Rovnyak and other structured spaces) (46E22) Sampling theory in information and communication theory (94A20)
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Semi-discrete Tikhonov regularization in RKHS with large randomly distributed noise ⋮ Regularized minimal-norm solution of an overdetermined system of first kind integral equations ⋮ Convergence analysis for kernel-regularized online regression associated with an RRKHS ⋮ A duality approach to regularized learning problems in Banach spaces ⋮ Regularization method for the generalized moment problem in a functional reproducing kernel Hilbert space ⋮ Adaptive explicit kernel Minkowski weighted K-means ⋮ Covariance estimation error of incomplete functional data under RKHS framework ⋮ Regularization in a functional reproducing kernel Hilbert space ⋮ Unnamed Item ⋮ A two-step fixed-point proximity algorithm for a class of non-differentiable optimization models in machine learning ⋮ Minimum norm interpolation in the ℓ1(ℕ) space
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