Hermite learning with gradient data

DOI10.1016/j.cam.2009.11.059zbMath1191.68532OpenAlexW2058531275MaRDI QIDQ848563

N. E. Zubov

Publication date: 4 March 2010

Published in: Journal of Computational and Applied Mathematics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.cam.2009.11.059

zbMATH Keywords

learning theoryintegral operatorreproducing kernel Hilbert spacessampling operatorHermite learningrepresenter theorem

Mathematics Subject Classification ID

General nonlinear regression (62J02) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Error analysis on Hérmite learning with gradient data ⋮ The kernel regularized learning algorithm for solving Laplace equation with Dirichlet boundary ⋮ Unnamed Item ⋮ Reproducing Properties of Differentiable Mercer-Like Kernels on the Sphere

Cites Work

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• Shannon sampling and function reconstruction from point values
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Leave-One-Out Bounds for Kernel Methods
• Estimating surface normals in noisy point cloud data
• Theory of Reproducing Kernels
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