Letter to the editor: Experimentally optimal ν in support vector regression for different noise models and parameter settings

Authors:
Athanassia Chalimourda;Bernhard Schölkopf;Alex J. Smola
Affiliations:
Ruhr-Universität Bochum, Institut für Neuroinformatik, Bochum D-44780, Germany;Max-Planck-Institut for Biological Cybernetics Spemannstraβe 38, Tübingen D-72076, Germany;Australian National University, Canberra ACT 0200, Australia
Venue:
Neural Networks
Year:
2005

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Experimentally optimal ν in support vector regression for different noise models and parameter settings

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Abstract