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Kernels for Vector-Valued Functions: A Review
Kernel methods are among the most popular techniques in machine learning.From a regularization 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 kernel Hilbert spaces.From a probabilistic perspective they are the …