Tractability of Function Approximation with Product Kernels

DOI10.1007/978-3-319-33507-0_32zbMath1355.41023OpenAlexW2500307357MaRDI QIDQ2957060

Xuan Zhou, Fred J. Hickernell

Publication date: 20 January 2017

Published in: Springer Proceedings in Mathematics & Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-33507-0_32

zbMATH Keywords

tractabilityfunction approximationproduct kernels

Mathematics Subject Classification ID

Multidimensional problems (41A63) Complexity and performance of numerical algorithms (65Y20)

Uses Software

• Matlab
• ElemStatLearn

Cites Work

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• Tractability of multivariate problems. Volume I: Linear information
• On the power of standard information for multivariate approximation in the worst case setting
• Interpolation of spatial data. Some theory for kriging
• On Dimension-independent Rates of Convergence for Function Approximation with Gaussian Kernels
• Learning Theory
• Kernel techniques: From machine learning to meshless methods
• Support Vector Machines
• Radial Basis Functions
• Scattered Data Approximation