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Sparse Kernel Machines

Sparse Kernel Machines. Introduction. Kernel function k(xn,xm) must be evaluated for all pairs of training points Advantageous (computationally) to look at kernel algorithms that have sparse solutions new predictions depend only on kernel function evaluated at a few training points

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