Multi-Output Learning via Spectral Filtering
In this paper we study a class of regularized kernel methods for vector-valued learning which are based on filtering the spectrum of the kernel matrix. The considered methods include Tikhonov regularization as a special case, as well as interesting alternatives such as vector-valued extensions of L2...
| Main Authors: | , , , |
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| Other Authors: | |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/60875 |