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Volumn , Issue , 2013, Pages 216-219

A novel higher-order semantic kernel for text classification

Author keywords

higher order paths; Machine learning; semantic kernel; support vector machine; text classification

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); EXPERIMENTS; LEARNING SYSTEMS; RADIAL BASIS FUNCTION NETWORKS; SEMANTICS; TEXT PROCESSING;

EID: 84894121828     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICECCO.2013.6718267     Document Type: Conference Paper
Times cited : (10)

References (19)
  • 2
    • 84894182404 scopus 로고    scopus 로고
    • Leveraging higher order dependencies between features for text classification
    • September, Bled, Slovenia
    • M. Ganiz, N. Lytkin, W.M. Pottenger, "Leveraging Higher Order Dependencies between Features for Text Classification." in Proceedings of ECML/PKDD Conference, September, Bled, Slovenia, 2009.
    • (2009) Proceedings of ECML/PKDD Conference
    • Ganiz, M.1    Lytkin, N.2    Pottenger, W.M.3
  • 4
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • C.-W. Hsu, C.-J. Lin, "A Comparison of Methods for Multi-Class Support Vector Machines", IEEE Transactions on Neural Networks, pp. 415-425, 2002.
    • (2002) IEEE Transactions on Neural Networks , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 11
    • 0003120218 scopus 로고    scopus 로고
    • Sequential minimal optimization: A fast algorithm for training support vector machines
    • MIT Press
    • J. C. Platt, "Sequential Minimal Optimization: A Fast Algorithm for Training Support Vector Machines", in Advances in Kernel Method: Support Vector Learning, MIT Press, pp. 185-208, 1998.
    • (1998) Advances in Kernel Method: Support Vector Learning , pp. 185-208
    • Platt, J.C.1
  • 16
    • 79952138178 scopus 로고    scopus 로고
    • Online
    • The Wikipedia website. [Online]. Available: http://www.wikipedia.org/.
    • The Wikipedia Website


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.