Search Results for author:
Found 1 papers, 0 papers with code
Regularised Least-Squares Regression with Infinite-Dimensional Output Space
This short technical report presents some learning theory results on vector-valued reproducing kernel Hilbert space (RKHS) regression, where the input space is allowed to be non-compact and the output space is a (possibly infinite-dimensional) Hilbert space.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
