NeuroCOLT: Neural Networks and Computational Learning Theory

NeuroCOLT

Neural Networks and Computational Learning Theory

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NeuroCOLT Technical Report NC-TR-98-024

Semiparametric Support Vector and Linear Programming Machines

Alex J. Smola, Thilo T. Friess, Bernhard Schoelkopf
GMD

Received: 07-AUG-98

Abstract
Semiparametric models are useful tools in the case where domain knowledge exists about the function to be estimated or emphasis is put onto understandability of the model. We extend two learning algorithms - Support Vector machines and Linear Programming machines to this case and give experimental results for SV machines.

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