Kernels for Vector-Valued Functions: a Review

Kernels for Vector-Valued Functions: a Review

Kernel methods are among the most popular techniques in machine learning. From a frequentist/discriminative perspective they play a central role in regularization theory as they provide a natural choice for the hypotheses space and the regularization functional through the notion of reproducing kern...

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Bibliographic Details
Main Authors:	Alvarez, Mauricio A., Rosasco, Lorenzo, Lawrence, Neil D.
Other Authors:	Tomaso Poggio
Language:	en-US
Published:	2011
Subjects:	learning theory kernel methods multi-output learning
Online Access:	http://hdl.handle.net/1721.1/64731

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