Cross-domain Semi-supervised Learning Using Feature Formulation

Publisher:
IEEE-inst Electrical Electronics Engineers Inc
Publication Type:
Journal Article
Citation:
IEEE Transactions On Systems, Man, And Cybernetics, Part B: Cybernetics, 2011, 41 (6), pp. 1627 - 1638
Issue Date:
2011-01
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Semi-Supervised Learning (SSL) traditionally makes use of unlabeled samples In this paper, sample and instance are interchangeable terms. by including them into the training set through an automated labeling process. Such a primitive Semi-Supervised Lear
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