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Volumn , Issue , 2004, Pages

Probabilistic sentence reduction using support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL LINGUISTICS; VECTORS;

EID: 44449130895     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (20)

References (12)
  • 2
    • 10044235999 scopus 로고    scopus 로고
    • LIB-SVM: a library for support vector machines
    • C.-C. Chang and C.-J. Lin, “LIB-SVM: a library for support vector machines”, Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
    • Software
    • Chang, C.-C.1    Lin, C.-J.2
  • 4
    • 0032355984 scopus 로고    scopus 로고
    • Classification by pairwise coupling
    • T.T. Hastie and R. Tibshirani, “Classification by pairwise coupling”, The Annals of Statistics, 26(1): pp. 451-471, 1998.
    • (1998) The Annals of Statistics , vol.26 , Issue.1 , pp. 451-471
    • Hastie, T.T.1    Tibshirani, R.2
  • 5
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multi-class support vector machines
    • C.-W. Hsu and C.-J. Lin, “A comparison of methods for multi-class support vector machines”, IEEE Transactions on Neural Networks, 13, pp. 415-425, 2002.
    • (2002) IEEE Transactions on Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 6
    • 0036641584 scopus 로고    scopus 로고
    • Summarization beyond sentence extraction: A Probabilistic approach to sentence compression
    • K. Knight and D. Marcu, “Summarization beyond sentence extraction: A Probabilistic approach to sentence compression”, Artificial Intelligence 139: pp. 91-107, 2002.
    • (2002) Artificial Intelligence , vol.139 , pp. 91-107
    • Knight, K.1    Marcu, D.2
  • 11
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparison to regularized likelihood methods
    • Cambridege, MA: MIT Press
    • J. Platt,“Probabilistic outputs for support vector machines and comparison to regularized likelihood methods,” in Advances in Large Margin Classifiers, Cambridege, MA: MIT Press, 2000.
    • (2000) Advances in Large Margin Classifiers
    • Platt, J.1
  • 12
    • 0031272926 scopus 로고    scopus 로고
    • Comparing Support Vector Machines with Gausian Kernels to Radius Basis Function Classifers
    • B. Scholkopf et al, “Comparing Support Vector Machines with Gausian Kernels to Radius Basis Function Classifers”, IEEE Trans. Signal Procesing, 45, pp. 2758-2765, 1997.
    • (1997) IEEE Trans. Signal Procesing , vol.45 , pp. 2758-2765
    • Scholkopf, B.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.