Eignets for function approximation on manifolds-Reference-Cited by-同舟云学术

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Eignets for function approximation on manifolds

Published:2010-07 Issue:1 Volume:29 Page:63-87
ISSN:1063-5203
Container-title:Applied and Computational Harmonic Analysis
language:en
Short-container-title:Applied and Computational Harmonic Analysis

Author:

Mhaskar H.N.

Publisher

Elsevier BV

Subject

Applied Mathematics

Reference35 articles.

1. Regularization and regression on large graphs;Belkin,2004

2. M. Belkin, P. Niyogi, Semi-supervised learning on Riemannian manifolds, Machine Learning J., in press; also, Tech. Report TR-2001-30, Univ. of Chicago, Computer Science Dept

3. Towards a theoretical foundation for Laplacian-based manifold methods;Belkin;J. Comput. System Sci.,2008

4. Interpolation Spaces, an Introduction;Bergh,1976

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3. Tractability of approximation by general shallow networks;Analysis and Applications;2024-02-09

4. Random points are optimal for the approximation of Sobolev functions;IMA Journal of Numerical Analysis;2023-03-23

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