확률벡터와 메타 범주를 이용한 최적 문서범주화 모델Optimizing for text categorization using probability vector and meta category

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dc.contributor.advisor최기선-
dc.contributor.advisorChoi, Key-Sun-
dc.contributor.author권오욱-
dc.contributor.authorKwon, Oh-Woog-
dc.date.accessioned2011-12-13T05:56:17Z-
dc.date.available2011-12-13T05:56:17Z-
dc.date.issued1995-
dc.identifier.urihttp://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=99322&flag=dissertation-
dc.identifier.urihttp://hdl.handle.net/10203/34093-
dc.description학위논문(석사) - 한국과학기술원 : 전산학과, 1995.2, [ iv, 45 p. ]-
dc.languagekor-
dc.publisher한국과학기술원-
dc.title확률벡터와 메타 범주를 이용한 최적 문서범주화 모델-
dc.title.alternativeOptimizing for text categorization using probability vector and meta category-
dc.typeThesis(Master)-
dc.identifier.CNRN99322/325007-
dc.description.department한국과학기술원 : 전산학과, -
dc.identifier.uid000933029-
dc.contributor.localauthor최기선-
dc.contributor.localauthorChoi, Key-Sun-
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CS-Theses_Master(석사논문)
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