Co-regularised support vector regression

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Co-regularised support vector regression

We consider a semi-supervised learning scenario for regression, where only few labelled examples, many unlabelled instances and different data representations (multiple views) are available. For this setting, we extend support vector regression with a co-regularisation term and obtain co-regularised...

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Bibliographic Details
Main Authors:	Ullrich, Katrin, Kamp, M., Gärtner, Thomas, Vogt, Martin, Wrobel, Stefan
Format:	Conference or Workshop Item
Published:	2017
Subjects:	regression kernel methods semi-supervised learning multiple views co-regularisation Rademacher complexity ligand affinity prediction
Online Access:	https://eprints.nottingham.ac.uk/45044/

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