Prior Knowledge in Support Vector Kernels

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.

Authors

• Bernhard Schölkopf
• Patrice Simard
• Alex Smola
• Vladimir Vapnik

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