Adaptive Loss Minimization for SemiSupervised Elastic Embedding Feiping Nie Hua Wang Heng Huang Chris Ding Department of Computer Science and Engineering University of Texas at Arlington Arlington
com huawangcsgmailcom hengutaedu chqdingutaedu Abstract The semisupervised learning usually only predict labels for unlabeled data appearing in training data and cannot effectively predict labels for testing data never appearing in training set To ha
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