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One of the more popular kernels\cite{Chang:2010:TTL:1756006.1859899} that can be used is the radial basis function (RBF) kernel, which is defined as:  $K(\mathbf{x}, \[  K(\mathbf{x},  \mathbf{x'}) = \exp\left(-\frac{||\mathbf{x} - \mathbf{x'}||_2^2}{2\sigma^2}\right) $ \]  The value of the RBF value goes from zero (at infinity) to one (when $ x = x'$), so it can be viewed as a similarity measure between the two samples. \cite{Vert}