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Volumn 2, Issue , 2003, Pages 1116-1119

Support Vector Machines for Multi-class Signal Classification with Unbalanced Samples

Author keywords

[No Author keywords available]

Indexed keywords

BINARY CODES; GENETIC ALGORITHMS; PROBLEM SOLVING; SIGNAL PROCESSING; VECTORS;

EID: 0141795475     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (29)

References (11)
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    • Cortes, C.1    Vapnik, V.2
  • 4
    • 0038007185 scopus 로고    scopus 로고
    • Multicategory support vector machines
    • Dept. Statist,. Univ. of Wisconsin, Madison, WI, Sept.
    • Y. Lee, Y. Lin, and G. Wahba, "Multicategory support vector machines," Dept. Statist,. Univ. of Wisconsin, Madison, WI, Tech. Rep. Rep. 1043, Sept. 2001.
    • (2001) Tech. Rep. Rep. , vol.1043
    • Lee, Y.1    Lin, Y.2    Wahba, G.3
  • 5
    • 0003425662 scopus 로고    scopus 로고
    • Support vector machines: Training and applications
    • MIT, Baston, MA, Mar.
    • E. E. Osuna, R. Freund, and F. Girosi, "Support vector machines: Training and applications," MIT, Baston, MA, Tech. Rep. Rep. AIM-1602, Mar. 1997.
    • (1997) Tech. Rep. Rep. , vol.AIM-1602
    • Osuna, E.E.1    Freund, R.2    Girosi, F.3
  • 6
    • 0003260442 scopus 로고    scopus 로고
    • Combining statistical learning with a knowledge-based approach, a case study in intensive care monitoring
    • Bled, Slovenia
    • K. Monk, P. Brockhausen, and T. Joachims, "Combining statistical learning with a knowledge-based approach, a case study in intensive care monitoring," in Proc. 16th International Conference on Machine learning, Bled, Slovenia, 1999.
    • (1999) Proc. 16th International Conference on Machine Learning
    • Monk, K.1    Brockhausen, P.2    Joachims, T.3
  • 7
    • 0002714543 scopus 로고    scopus 로고
    • Making large-scale SVM learning practical
    • B. Schölkoph, C. Burges, and A. Smola, Eds. Boston, MA: MIT Press
    • T. Joachims, "Making large-scale SVM learning practical," in Advances in Kernel Methods: Support Vector Learning, B. Schölkoph, C. Burges, and A. Smola, Eds. Boston, MA: MIT Press, 1999.
    • (1999) Advances in Kernel Methods: Support Vector Learning
    • Joachims, T.1
  • 9
    • 0036505670 scopus 로고    scopus 로고
    • A comparison of methods for multiclass support vector machines
    • Mar.
    • C.-W. Hsu and C,-J. Lin, "A comparison of methods for multiclass support vector machines," IEEE Trans. Neural Networks, vol. 13, pp. 415-425, Mar. 2002.
    • (2002) IEEE Trans. Neural Networks , vol.13 , pp. 415-425
    • Hsu, C.-W.1    Lin, C.-J.2
  • 11
    • 0036083084 scopus 로고    scopus 로고
    • Fast and robust neural network based wheel bearing fault detection with optimal wavelet features
    • P. Xu and A. K. Chan, "Fast and robust neural network based wheel bearing fault detection with optimal wavelet features," in Proc. International Joint Conference on Neural Networks, 2002, pp. 2076-2080.
    • (2002) Proc. International Joint Conference on Neural Networks , pp. 2076-2080
    • Xu, P.1    Chan, A.K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.