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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2017.05.072
Abstract: Abstract Having a multitude of unlabeled data and few labeled ones is a common problem in many practical applications. A successful methodology to tackle this problem is self-training semi-supervised classification. In this paper, we introduce…
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Keywords:
semi supervised;
supervised classification;
self training;
training semi ... See more keywords