Shrinking the tube: A new support vector regression algorithm

Bernhard Schölkopf, Peter Bartlett, Alex SmoIa, Robert Williamson

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    146 Citations (Scopus)

    Abstract

    A new algorithm for Support Vector regression is described. For a priori chosen v, it automatically adjusts a flexible tube of minimal radius to the data such that at most a fraction v 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.

    Original languageEnglish
    Title of host publicationAdvances in Neural Information Processing Systems 11 - Proceedings of the 1998 Conference, NIPS 1998
    PublisherNeural Information Processing Systems Foundation
    Pages330-336
    Number of pages7
    ISBN (Print)0262112450, 9780262112451
    Publication statusPublished - 1999
    Event12th Annual Conference on Neural Information Processing Systems, NIPS 1998 - Denver, CO, United States
    Duration: 30 Nov 19985 Dec 1998

    Publication series

    NameAdvances in Neural Information Processing Systems
    ISSN (Print)1049-5258

    Conference

    Conference12th Annual Conference on Neural Information Processing Systems, NIPS 1998
    Country/TerritoryUnited States
    CityDenver, CO
    Period30/11/985/12/98

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