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Universal Multi-Task Kernels

Published in Journal of Machine Learning Research • Jun 1, 2008
NobleIDNI1P43W52R17S61
Authors:
Andrea Caponnetto
,
Charles A. Micchelli
,
Massimiliano Pontil

Abstract

In this paper we are concerned with reproducing kernel Hilbert spaces HK of functions from an input space into a Hilbert space Y, an environment appropriate for multi-task learning. The reproducing kernel K associated to HK has its values as operators on Y. Our primary goal here is to derive conditi...

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