82 citations · 433 across the 35 of their papers we have counts for
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math.NA2019★ 41 cited
A novel class of stabilized greedy kernel approximation algorithms: Convergence, stability & uniform point distribution
Tizian Wenzel, Gabriele Santin, Bernard Haasdonk
Kernel based methods provide a way to reconstruct potentially high-dimensional functions from meshfree samples, i.e., sampling points and corresponding target values. A crucial ing…
math.NA2019★ 13 cited
Kernel Methods for Surrogate Modeling
Gabriele Santin, Bernard Haasdonk
This chapter deals with kernel methods as a special class of techniques for surrogate modeling. Kernel methods have proven to be efficient in machine learning, pattern recognition…