Harald G.

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To learn an SVM, we need to choose the support vectors and their weights. The similarity measure, which in SVM-land is called the kernel, is usually chosen a priori.
The Master Algorithm: How the Quest for the Ultimate Learning Machine Will Remake Our World
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