This paper presents an error approximation concept for a version of the discontinuous Galerkin (DG) method called the discontinuous Galerkin with finite difference ...
Kernel functions are vital ingredients of several machine learning (ML) algorithms but often incur substantial memory and computational costs. We introduce an approach to kernel approximation in ML ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results