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. Author manuscript; available in PMC: 2015 Apr 15.
Published in final edited form as: Neuroimage. 2014 Jan 2;90:449–468. doi: 10.1016/j.neuroimage.2013.11.046

Table 3.

The most commonly used kernels for nonlinear SVM

Kernel Name Formula
Polynomial (homogeneous) k(xi, xj) = (xi.xj)d
Polynomial (inhomogeneous) k(xi, xj) = (xi.xj + 1)d
Gaussian radial basis function (RBF) k(xi, xj) = exp(−γ||xixj||2)