Fredholm Multiple Kernel Learning for Semi-Supervised Domain Adaptation.
THIRTY-FIRST AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, pp.2732-2738, (2017)
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
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