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Principal Weighted Support Vector Machines for Sufficient Dimension Reduction

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dc.contributor.authorSeung Jun Shin-
dc.date.accessioned2021-08-28T06:49:38Z-
dc.date.available2021-08-28T06:49:38Z-
dc.date.created2021-04-22-
dc.date.issued2017-06-24-
dc.identifier.urihttps://scholar.korea.ac.kr/handle/2021.sw.korea/23468-
dc.publisherChinese institute of probability and statistics-
dc.titlePrincipal Weighted Support Vector Machines for Sufficient Dimension Reduction-
dc.title.alternativePrincipal Weighted Support Vector Machines for Sufficient Dimension Reduction-
dc.typeConference-
dc.contributor.affiliatedAuthorSeung Jun Shin-
dc.identifier.bibliographicCitationThe 26th South Tiwan Statistics Conference-
dc.relation.isPartOfThe 26th South Tiwan Statistics Conference-
dc.relation.isPartOfThe 26th South Tiwan Statistics Conference-
dc.citation.titleThe 26th South Tiwan Statistics Conference-
dc.citation.conferencePlaceCH-
dc.citation.conferencePlaceTiwan-
dc.citation.conferenceDate2017-06-23-
dc.type.rimsCONF-
dc.description.journalClass1-
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