Projected estimators for robust semi-supervised classification
نویسندگان
چکیده
منابع مشابه
Delft University of Technology Projected estimators for robust semi-supervised classification
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 semisupervised learning, the procedure proposed in this work does not rely on assumptions that are not intrinsic to the classifier at hand....
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ژورنال
عنوان ژورنال: Machine Learning
سال: 2017
ISSN: 0885-6125,1573-0565
DOI: 10.1007/s10994-017-5626-8