Shrinking the Tube: A New Support Vector Regression Algorithm

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A new algorithm for Support Vector regression is described. For a priori chosen , it automatically adjusts a flexible tube of minimal radius to the data such that at most a fraction of the data points lie outside. Moreover, it is shown how to use parametric tube shapes with non-constant radius. The algorithm is analysed theoretically and experimentally.

Bernhard Schölkopf, Peter L. Bartlett, Alex J

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NIPS 1998 | NIPS 2007 | Parametric Tube Shapes | Priori Chosen | Support Vector Regression |

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Added	01 Nov 2010
Updated	01 Nov 2010
Type	Conference
Year	1998
Where	NIPS
Authors	Bernhard Schölkopf, Peter L. Bartlett, Alex J. Smola, Robert C. Williamson

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Shrinking the Tube: A New Support Vector Regression Algorithm

NIPS 1998 | NIPS 2007 | Parametric Tube Shapes | Priori Chosen | Support Vector Regression |

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