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Learning with Generalization Capability by Kernel Methods of Bounded Complexity

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    SYSNO0405215
    TitleLearning with Generalization Capability by Kernel Methods of Bounded Complexity
    TitleUčení se schopností generalizace pomocí jádrových metod omezené složitosti
    Author(s) Kůrková, Věra (UIVT-O) RID, SAI, ORCID
    Sanguineti, M. (IT)
    Source Title Journal of Complexity. Roč. 21, č. 3 (2005), s. 350-367. - : Elsevier
    Document TypeČlánek v odborném periodiku
    Grant 1ET100300419 GA AV ČR - Academy of Sciences of the Czech Republic (AV ČR)
    CEZAV0Z10300504 - UIVT-O (2005-2011)
    Languageeng
    CountryNL
    Keywords supervised learning * generalization * model complexity * kernel methods * minimization of regularized empirical errors * upper bounds on rates of approximate optimization
    Permanent Linkhttp://hdl.handle.net/11104/0125406
    FileDownloadSizeCommentaryVersionAccess
    0405215.pdf01.1 MBAuthor´s preprintopen-access
     

Number of the records: 1  

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