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m Qwertyus moved page RBF kernel to Radial basis function kernel |
→Approximations: explain phi |
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:<math>z(\mathbf{x})z(\mathbf{x'}) \approx \varphi(\mathbf{x})\varphi(\mathbf{x'}) = K(\mathbf{x}, \mathbf{x'})</math>
where <math>\textstyle\varphi</math> is the implicit mapping embedded in the RBF kernel.
One way to construct such a ''z'' is to randomly sample from the [[Fourier transformation]] of the kernel.<ref>Ali Rahimi and Benjamin Recht (2007). Random features for large-scale kernel machines. Neural Information Processing Systems.</ref>
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