Now showing items 1-10 of 108
Optimal kernel choice for domain adaption learning
© 2016 Elsevier Ltd. All rights reserved. In this paper, a kernel choice method is proposed for domain adaption, referred to as Optimal Kernel Choice Domain Adaption (OKCDA). It learns a robust classier and parameters ...
Anatomy of the sign-problem in heavy-dense QCD
Topological Defects in Metal-Free Nanocarbon for Oxygen Electrocatalysis