Cultural advice

The Australian National University acknowledges, celebrates and pays our respects to the Ngunnawal and Ngambri people of the Canberra region and to all First Nations Australians on whose traditional lands we meet and work, and whose cultures are among the oldest continuing cultures in human history.

Aboriginal and Torres Strait Islander peoples are advised that ANU Library collections may include images, names, voices, and other representations of deceased persons.

Material in the collection may contain terms, language or views that reflect the period in which the item was created and may be considered inappropriate today.

Geometric parameters of kernel machines

Simple item page
dc.contributor.authorMendelson, Shahar
dc.coverage.spatialSydney Australia
dc.date.accessioned2015-12-13T22:26:25Z
dc.date.available2015-12-13T22:26:25Z
dc.date.createdJuly 8 2002
dc.date.issued2002
dc.date.updated2015-12-11T08:22:10Z
dc.identifier.isbn354043836X
dc.identifier.urihttp://hdl.handle.net/1885/73504
dc.publisherSpringer
dc.relation.ispartofseriesAnnual Conference on Computational Learning Theory (COLT 2002)
dc.sourceComputational Learning Theory
dc.titleGeometric parameters of kernel machines
dc.typeConference paper
local.bibliographicCitation.lastpage43
local.bibliographicCitation.startpage29
local.contributor.affiliationMendelson, Shahar, College of Engineering and Computer Science, ANU
local.contributor.authoruidMendelson, Shahar, u4011413
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.ariespublicationMigratedxPub3718
local.type.statusPublished Version

Downloads

Collections

ANU Research Publications

DSpace software copyright © 2002-2026 LYRASIS