Prior Knowledge in Support Vector Kernels

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

Authors

Bernhard Schölkopf, Patrice Simard, Alex Smola, Vladimir Vapnik

Abstract

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.