An Approximate Approach to Automatic Kernel Selection
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2016.2520582
Abstract: Kernel selection is a fundamental problem of kernel-based learning algorithms. In this paper, we propose an approximate approach to automatic kernel selection for regression from the perspective of kernel matrix approximation. We first introduce multilevel… read more here.
Keywords: automatic kernel; approach automatic; selection; approximate approach ... See more keywords