Prior Knowledge in Support Vector Kernels

Schölkopf, Bernhard, Simard, Patrice, Smola, Alex J., Vapnik, Vladimir

Neural Information Processing Systems 

We explore methods for incorporating prior knowledge about a problem at hand in Support Vector learning machines. We show that both invariances undergroup transfonnations and prior knowledge about locality in images can be incorporated by constructing appropriate kernel functions.

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