Prior Knowledge in Support Vector Kernels

Part of Advances in Neural Information Processing Systems 10 (NIPS 1997)

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Bernhard Schölkopf, Patrice Simard, Alex Smola, Vladimir Vapnik


We explore methods for incorporating prior knowledge about a problem at hand in Support Vector learning machines. We show that both invari(cid:173) ances under group transfonnations and prior knowledge about locality in images can be incorporated by constructing appropriate kernel functions.