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Volumn 2, Issue , 2003, Pages 1599-1604

Fuzzy Least Squares Support Vector Machines

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; LINEAR EQUATIONS; OPTIMAL SYSTEMS; QUADRATIC PROGRAMMING;

EID: 0141459892     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (14)

References (13)
  • 3
    • 0002229304 scopus 로고    scopus 로고
    • Pairwise Classification and Support Vector Machines
    • B. Schölkopf, C. J. C. Surges, and A. J. Smola, Eds., MIT Press, Cambridge, MA
    • U. H.-G. Kreßel, "Pairwise Classification and Support Vector Machines," In B. Schölkopf, C. J. C. Surges, and A. J. Smola, Eds., Advances in Kernel Methods; Support Vector Learning, pp. 255-268, MIT Press, Cambridge, MA, 1999.
    • (1999) Advances in Kernel Methods; Support Vector Learning , pp. 255-268
    • Kreßel, U.H.-G.1
  • 4
    • 0000406788 scopus 로고
    • Solving Multiclass Learning Problems via Error-Correcting Output Codes
    • T. G. Dietterich and G. Bakiri, "Solving Multiclass Learning Problems via Error-Correcting Output Codes," Journal of Artificial Intelligence Research, Vol. 2, pp. 263-286, 1995.
    • (1995) Journal of Artificial Intelligence Research , vol.2 , pp. 263-286
    • Dietterich, T.G.1    Bakiri, G.2
  • 5
    • 0034863318 scopus 로고    scopus 로고
    • Fuzzy Support Vector Machines for Pattern Classification
    • T. Inoue and S. Abe, "Fuzzy Support Vector Machines for Pattern Classification," Proc. IJCNN'01, pp. 1449-1454, 2001.
    • (2001) Proc. IJCNN'01 , pp. 1449-1454
    • Inoue, T.1    Abe, S.2
  • 8
    • 0000764772 scopus 로고
    • The Use of Multiple Measurements in Taxonomic Problems
    • R. A. Fisher, "The Use of Multiple Measurements in Taxonomic Problems," Annals of Eugenics, Vol. 7, pp. 179-188, 1936.
    • (1936) Annals of Eugenics , vol.7 , pp. 179-188
    • Fisher, R.A.1
  • 9
    • 0000861479 scopus 로고    scopus 로고
    • Will the Real Iris Data Please Stand up?
    • J. C. Bezdek et al., "Will the Real Iris Data Please Stand up?," IEEE Transactions on Fuzzy Systems, Vol. 7, No. 3, pp. 368-369, 1999.
    • (1999) IEEE Transactions on Fuzzy Systems , vol.7 , Issue.3 , pp. 368-369
    • Bezdek, J.C.1
  • 10
    • 0025888567 scopus 로고
    • Input Layer Optimization of Neural Networks by Sensitivity Analysis and its Application to Recognition of Numerals
    • H. Takenaga et al., "Input Layer Optimization of Neural Networks by Sensitivity Analysis and Its Application to Recognition of Numerals," Electrical Engineering in Japan, Vol. 111, No. 4, pp. 130-138, 1991.
    • (1991) Electrical Engineering in Japan , vol.111 , Issue.4 , pp. 130-138
    • Takenaga, H.1
  • 11
    • 0037922093 scopus 로고    scopus 로고
    • An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
    • S. M. Weiss and I. Kapouleas, "An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods," Proc. IJCAI-99, Workshop ML3, pp. 55-60, 1999.
    • (1999) Proc. IJCAI-99, Workshop ML3 , pp. 55-60
    • Weiss, S.M.1    Kapouleas, I.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.