Title:
Wavelet-Based Estimation of a Discriminant Function

dc.contributor.author Chang, Woojin
dc.contributor.author Kim, Seong-Hee
dc.contributor.author Vidakovic, Brani
dc.contributor.corporatename Georgia Institute of Technology. School of Industrial and Systems Engineering
dc.date.accessioned 2008-12-09T18:50:24Z
dc.date.available 2008-12-09T18:50:24Z
dc.date.issued 2002
dc.description.abstract In this paper we consider wavelet-based binary linear classifiers. Both consistency results and implementational issues are addressed. We show that under mild assumptions on the design density wavelet discrimination rules are L₂-consistent. The proposed method is illustrated on synthetic data sets in which the "truth" is known and on an applied discrimination problem from the industrial field. en
dc.identifier.uri http://hdl.handle.net/1853/25926
dc.language.iso en_US en
dc.publisher Georgia Institute of Technology en
dc.relation.ispartofseries Biomedical Engineering Technical Report ; G01/2002 en
dc.subject Discrimination en
dc.subject Wavelets en
dc.subject Regression en
dc.title Wavelet-Based Estimation of a Discriminant Function en
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Kim, Seong-Hee
local.contributor.author Vidakovic, Brani
local.contributor.corporatename Wallace H. Coulter Department of Biomedical Engineering
local.contributor.corporatename College of Engineering
relation.isAuthorOfPublication 7d0731d7-690b-4695-86cd-fbf52c7c8b6f
relation.isAuthorOfPublication 1463fd97-3d52-4269-afac-97f6f7f46fcd
relation.isOrgUnitOfPublication da59be3c-3d0a-41da-91b9-ebe2ecc83b66
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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