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Regularization in kernel learning

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dc.contributor.authorMendelson, Shahar
dc.contributor.authorNeeman, Joseph
dc.date.accessioned2016-02-11T03:54:03Z
dc.date.available2016-02-11T03:54:03Z
dc.date.issued2010
dc.date.updated2016-02-24T08:10:20Z
dc.description.abstractUnder mild assumptions on the kernel, we obtain the best known error rates in a regularized learning scenario taking place in the corresponding reproducing kernel Hilbert space (RKHS). The main novelty in the analysis is a proof that one can use a regularization term that grows significantly slower than the standard quadratic growth in the RKHS norm.
dc.description.sponsorshipSupported in part by Australian Research Council Discovery Grant DP0559465 and by Israel Science Foundation Grant 666/06.en_AU
dc.identifier.issn0090-5364en_AU
dc.identifier.urihttp://hdl.handle.net/1885/733712379
dc.publisherInstitute of Mathematical Statistics
dc.relationhttp://purl.org/au-research/grants/arc/DP0559465
dc.rights© Institute of Mathematical Statistics, 2002. http://www.sherpa.ac.uk/romeo/issn/0090-5364..."author can archive publisher's version/PDF. On author's personal website or open access repository" from SHERPA/RoMEO site (as at 11/02/16)
dc.sourceThe Annals of Statistics
dc.subjectRegression
dc.subjectreproducing kernel Hilbert space
dc.subjectregulation
dc.subjectleast-squares
dc.subjectmodel selection
dc.titleRegularization in kernel learning
dc.typeJournal article
local.bibliographicCitation.issue1en_AU
local.bibliographicCitation.lastpage565en_AU
local.bibliographicCitation.startpage526en_AU
local.contributor.affiliationMendelson, Shahar, College of Physical and Mathematical Sciences, CPMS Mathematical Sciences Institute, Centre for Mathematics and Its Applications, The Australian National Universityen_AU
local.contributor.affiliationNeeman, Joseph, University of California, United States of Americaen_AU
local.contributor.authoruidu4011413en_AU
local.description.notesImported from ARIESen_AU
local.identifier.absfor010404en_AU
local.identifier.ariespublicationf2965xPUB1201en_AU
local.identifier.citationvolume38en_AU
local.identifier.doi10.1214/09-AOS728en_AU
local.identifier.scopusID2-s2.0-73949116964
local.publisher.urlhttp://imstat.org/en/index.htmlen_AU
local.type.statusPublished Versionen_AU

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