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Volumn , Issue , 2008, Pages 233-240

Analysis of machine learning techniques for context extraction

Author keywords

[No Author keywords available]

Indexed keywords

DIGITAL ENVIRONMENTS; FEATURE SELECTIONS; FEATURE TYPES; INFORMATION DELIVERIES; KNOWLEDGE WORKERS; MACHINE LEARNING ALGORITHMS; MACHINE-LEARNING; MACHINE-LEARNING TECHNIQUES; REAL-WORLD DATUM; SUPERVISED CLASSIFICATIONS; USER INTERACTIONS;

EID: 62949158789     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDIM.2008.4746809     Document Type: Conference Paper
Times cited : (18)

References (11)
  • 2
    • 0003710380 scopus 로고    scopus 로고
    • LIBSVM: A library for support vector machines
    • C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines, 2001. Software available at http: //www.csie.ntu.edu.tw/̃cjlin/libsvm.
    • (2001) Software available at http
    • Chang, C.-C.1    Lin, C.-J.2
  • 7
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • C. N'edellec and C. Rouveirol, editors, number, Chemnitz, DE, Springer Verlag, Heidelberg, DE
    • T. Joachims. Text categorization with support vector machines: learning with many relevant features. In C. N'edellec and C. Rouveirol, editors, Proceedings of the European Conference on Machine Learning, number 1398, pages 137-142, Chemnitz, DE, 1998. Springer Verlag, Heidelberg, DE.
    • (1998) Proceedings of the European Conference on Machine Learning , vol.1398 , pp. 137-142
    • Joachims, T.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.