Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation.

THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.2732-2738, (2017)

Cited by: 8|Views15
EI

Abstract:

As a fundamental constituent of machine learning, domain adaptation generalizes a learning model from a source domain to a different (but related) target domain. In this paper, we focus on semi-supervised domain adaptation and explicitly extend the applied range of unlabeled target samples into the combination of distribution alignment an...More

Code:

Data:

ZH
Full Text
Bibtex
Your rating :
0

 

Tags
Comments