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

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概要

• 論文の詳細を見る
• 2005-03-01

著者

• Scholkopf Bernhard

  Max-planck-institut For Biological Cybernetics

• CHALIMOURDA Athanassia

  Ruhr-Universitat Bochum, Institut fur Neuroinformatik

• SMOLA Alex

  Australian National University

• Smola Alex

  Australian National University Canberra

• Chalimourda Athanassia

  Ruhr-universitat Bochum Institut Fur Neuroinformatik

関連論文

• Experimentally optimal v in support vector regression for different noise models and parameter settings
• Experimentally optimal ν in support vector regression for different noise models and parameter settings
• The connection between regularization operators and support vector kernels

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