Compactly supported radial basis functions: How and why?
The use of radial basis functions have attracted increasing attention in recent years as an elegant scheme for high-dimensional scattered data approximation, an practical method for machine learning, one of the foundations of mesh-free methods, an alternative way to construct higher order methods fo...
Main Author: | |
---|---|
Format: | Report |
Published: |
SIAM
2012
|