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AN EFFICIENT ALGORITHM FOR THE LEAST-SQUARES CROSS-VALIDATION WITH SYMMETRICAL AND POLYNOMIAL KERNELS

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dc.contributor.authorLEE, BGko
dc.contributor.authorKim, Byung-Chunko
dc.date.accessioned2013-02-24T14:34:30Z-
dc.date.available2013-02-24T14:34:30Z-
dc.date.created2012-02-06-
dc.date.created2012-02-06-
dc.date.issued1990-
dc.identifier.citationCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, v.19, no.4, pp.1513 - 1522-
dc.identifier.issn0361-0918-
dc.identifier.urihttp://hdl.handle.net/10203/57898-
dc.description.abstractThe least-squares cross-validation is a completely automatic method for choosing the smoothing parameter in probability density estimation but this method consume large amounts of computer time. This article concerns an efficient computational algorithm for this method when the kernel is symmetric and polynomial functions.-
dc.languageEnglish-
dc.publisherMARCEL DEKKER INC-
dc.subjectFAST FOURIER-TRANSFORM-
dc.subjectDENSITY-
dc.titleAN EFFICIENT ALGORITHM FOR THE LEAST-SQUARES CROSS-VALIDATION WITH SYMMETRICAL AND POLYNOMIAL KERNELS-
dc.typeArticle-
dc.identifier.wosidA1990EZ17700025-
dc.type.rimsART-
dc.citation.volume19-
dc.citation.issue4-
dc.citation.beginningpage1513-
dc.citation.endingpage1522-
dc.citation.publicationnameCOMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION-
dc.contributor.localauthorKim, Byung-Chun-
dc.contributor.nonIdAuthorLEE, BG-
dc.type.journalArticleArticle-
dc.subject.keywordAuthorPROBABILITY DENSITY ESTIMATION-
dc.subject.keywordAuthorLEAST-SQUARES CROSS-VALIDATION-
dc.subject.keywordAuthorCONVOLUTION-
dc.subject.keywordAuthorSYMMETRICAL AND POLYNOMIAL KERNELS-
dc.subject.keywordPlusFAST FOURIER-TRANSFORM-
dc.subject.keywordPlusDENSITY-
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MT-Journal Papers(저널논문)
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