Geometric parameters of kernel machines

Shahar Mendelson*

*Corresponding author for this work

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

    48 Citations (Scopus)

    Abstract

    We investigate the fat-shattering dimension and the localized Rademacher averages of kernel machines and their connection to the eigenvalues associated with the kernel.

    Original languageEnglish
    Title of host publicationComputational Learning Theory - 15th Annual Conference on Computational Learning Theory, COLT 2002, Proceedings
    EditorsJyrki Kivinen, Robert H. Sloan
    PublisherSpringer Verlag
    Pages29-43
    Number of pages15
    ISBN (Electronic)354043836X, 9783540438366
    DOIs
    Publication statusPublished - 2002
    Event15th Annual Conference on Computational Learning Theory, COLT 2002 - Sydney, Australia
    Duration: 8 Jul 200210 Jul 2002

    Publication series

    NameLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
    Volume2375
    ISSN (Print)0302-9743

    Conference

    Conference15th Annual Conference on Computational Learning Theory, COLT 2002
    Country/TerritoryAustralia
    CitySydney
    Period8/07/0210/07/02

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