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Volumn 1, Issue , 2007, Pages 683-687

The variant of Gaussian kernel and its model selection method

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; GAUSSIAN DISTRIBUTION; PARAMETER ESTIMATION; PROBLEM SOLVING;

EID: 38049079830     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNC.2007.754     Document Type: Conference Paper
Times cited : (2)

References (13)
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    • 0032594959 scopus 로고    scopus 로고
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    • Vapnik V. N. An overview of statistical learning theory. IEEE trans on Neural Network, 1999, 10 (5):988-999.
    • (1999) IEEE trans on Neural Network , vol.10 , Issue.5 , pp. 988-999
    • Vapnik, V.N.1
  • 3
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Scholkopf et al.ed, Cambridge, MA, MIT Press
    • Piatt J. C. Fast training of support vector machines using sequential minimal optimization. In B. Scholkopf et al.(ed.), A avances in Kernel Method-Support Vector Learning, Cambridge, MA, MIT Press, 1999,185-208.
    • (1999) A avances in Kernel Method-Support Vector Learning , pp. 185-208
    • Piatt, J.C.1
  • 4
    • 0000545946 scopus 로고    scopus 로고
    • Improvements to Platt's SMO algorithm for SVM classifier design
    • Keerthi S. S, Shevade S. K et al. Improvements to Platt's SMO algorithm for SVM classifier design. Neural Computation, 2001, 13: 637-649.
    • (2001) Neural Computation , vol.13 , pp. 637-649
    • Keerthi, S.S.1    Shevade, S.K.2
  • 7
    • 0036161011 scopus 로고    scopus 로고
    • Choosing multiple parameters for support vector machines
    • Chapella O, Vapnik V etc. Choosing multiple parameters for support vector machines. Machine Learning , 2002, 46 (1):131-159
    • (2002) Machine Learning , vol.46 , Issue.1 , pp. 131-159
    • Chapella, O.1    Vapnik, V.2
  • 8
    • 0037822222 scopus 로고    scopus 로고
    • Asymptotic behaviors of support vector machines with Gaussian kernel
    • Keerthi S S, Lin C J. Asymptotic behaviors of support vector machines with Gaussian kernel. Neural computation, 2003, 15:1667-1689.
    • (2003) Neural computation , vol.15 , pp. 1667-1689
    • Keerthi, S.S.1    Lin, C.J.2
  • 10
    • 0242596881 scopus 로고    scopus 로고
    • On kernel-target alignment
    • Advances in Neural Information Processing Systems 14, MIT Press
    • Cristianini N., Eliseef A. et al, On kernel-target alignment, In Advances in Neural Information Processing Systems 14, MIT Press, 2002
    • (2002)
    • Cristianini, N.1    Eliseef, A.2
  • 12
    • 33746932071 scopus 로고    scopus 로고
    • Chih-Jen Lin. A study on SMO-type decomposition methods for support vector machines
    • Chen P.-H., Fan R.-E., Chih-Jen Lin. A study on SMO-type decomposition methods for support vector machines. IEEE Trans. on Neural Networks, 2006,17, 893-908.
    • (2006) IEEE Trans. on Neural Networks , vol.17 , pp. 893-908
    • Chen, P.-H.1    Fan, R.-E.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.