Random Features for Large-Scale Kernel Machines
2 log σ p diam(M) . The proof of this assertion first guarantees that z(x)0z(y) is close to k(x − y) for the centers of an -net over M × M. This result is then extended to the entire space using the fact that the feature map is smooth with high probability. See the Appendix for details. 3
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