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Pairwise similarities and dissimilarities between data points might be easier to obtain than fully labeled data in real-world classification problems, e.g., in privacy-aware situations.
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Convex formulation for learning from positive and unlabeled data
M. Du Plessis, G. Niu, and M. Sugiyama · 2015
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Libsvm: a library for support vector machines
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Spectral clustering: a semi-supervised approach
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Semi-supervised classification based on classification from positive and unlabeled data
T. Sakai, M. C. du Plessis, G. Niu, and M. Sugiyama · 2017
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Classification from pairwise similarity and unlabeled data
H. Bao, G. Niu, and M. Sugiyama · 2018
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