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document
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Krijthe, J.H. (author), Loog, M. (author)
For semi-supervised techniques to be applied safely in practice we at least want methods to outperform their supervised counterparts. We study this question for classification using the well-known quadratic surrogate loss function. Unlike other approaches to semi-supervised learning, the procedure proposed in this work does not rely on...
journal article 2017
Source URL (retrieved on 2024-05-05 18:33): https://repository.tudelft.nl/islandora/search/subject%3A%22semi%255C-supervised%255C%252Blearning%22?f%5B0%5D=mods_name_personal_author_namePart_family_ss%3A%22Krijthe%22