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dc.contributor.author유환조-
dc.contributor.author김성철-
dc.contributor.authorNA Vien-
dc.contributor.authorVH Viet-
dc.contributor.authorT Chung-
dc.contributor.authorB Cho-
dc.date.accessioned2018-06-15T06:57:11Z-
dc.date.available2018-06-15T06:57:11Z-
dc.date.created2009-08-05-
dc.date.issued2009-11-02-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/51759-
dc.publisherAssociation for Computing Machinery-
dc.relation.isPartOfACM Conf. Information and Knowledge Management, 2009-
dc.titleVRIFA: A Nonlinear SVM Visualization Tool using Nomogram and LRBF Kernels-
dc.typeConference-
dc.type.rimsCONF-
dc.identifier.bibliographicCitationACM Conf. Information and Knowledge Management, 2009-
dc.citation.conferencePlaceCC-
dc.citation.titleACM Conf. Information and Knowledge Management, 2009-
dc.contributor.affiliatedAuthor유환조-
dc.contributor.affiliatedAuthor김성철-
dc.description.journalClass1-
dc.description.journalClass1-

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유환조YU, HWANJO
Dept of Computer Science & Enginrg
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