sCOs: Semi-Supervised Co-Selection by a Similarity Preserving Approach
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DOI: 10.1109/tkde.2020.3014262
Abstract: In this paper, we focus on co-selection of instances and features in the semi-supervised learning scenario. In this context, co-selection becomes a more challenging problem as data contain labeled and unlabeled examples sampled from the… read more here.
Keywords: supervised selection; semi supervised; similarity preserving; selection ... See more keywords