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...
| Main Authors: | , , |
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| Other Authors: | |
| Language: | en-US |
| Published: |
2011
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| Subjects: | |
| Online Access: | http://hdl.handle.net/1721.1/64731 |