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• W2132034617 abstract "The field of semi-supervised learning has been expanding rapidly in the past few years, with a sheer increase in the number of related publications. In this paper we present the SSL problem in contrast with supervised and unsupervised learning. In addition, we propose a taxonomy with which we categorize many existing approaches described in the literature based on their underlying framework, data representation, and algorithmic class." @default.
• W2132034617 created "2016-06-24" @default.
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• W2132034617 date "2009-01-01" @default.
• W2132034617 modified "2023-09-26" @default.
• W2132034617 title "Machine Learning with Labeled and Unlabeled Data" @default.
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• W2132034617 hasPublicationYear "2009" @default.
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