Learning in reproducing kernel Kreın spaces

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Learning in reproducing kernel Kreın spaces

We formulate a novel regularized risk minimization problem for learning in reproducing kernel Kreın spaces and show that the strong representer theorem applies to it. As a result of the latter, the learning problem can be expressed as the minimization of a quadratic form over a hypersphere of consta...

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Bibliographic Details
Main Authors:	Oglic, Dino, Gärtner, Thomas
Format:	Conference or Workshop Item
Published:	2018
Online Access:	https://eprints.nottingham.ac.uk/52412/

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