Aims: To formulate, implement, and validate a user-independent release o...
Variably scaled kernels and mapped bases constructed via the so-called f...
Thanks to their easy implementation via Radial Basis Functions (RBFs),
m...
The polynomial kernels are widely used in machine learning and they are ...
Aima. To determine to what extent the problem of forward fitting visibil...
Kernel-based schemes are state-of-the-art techniques for learning by dat...
Aims: To provide the first demonstration of STIX Fourier-transform X-ray...
The main purpose of this work is the one of providing an efficient schem...
Model reduction for fluid flow simulation continues to be of great inter...
We investigate an interpolation/extrapolation method that, given scatter...
Space telescopes for solar hard X-ray imaging provide observations made ...
The data driven extrapolation requires the definition of a functional mo...