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Volumn 2005, Issue , 2005, Pages 374-379

Boosting of Support Vector Machines with application to editing

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; DATABASE SYSTEMS; INFORMATION RETRIEVAL SYSTEMS;

EID: 33847331702     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2005.13     Document Type: Conference Paper
Times cited : (13)

References (12)
  • 2
    • 0000667930 scopus 로고    scopus 로고
    • Training ν-support vector classifiers: Theory and algorithms
    • C.-C. Chang and C.-J. Lin. Training ν-support vector classifiers: Theory and algorithms. Neural Computation, (9):2119-2147, 2001.
    • (2001) Neural Computation , vol.9 , pp. 2119-2147
    • Chang, C.-C.1    Lin, C.-J.2
  • 3
    • 0001260194 scopus 로고    scopus 로고
    • Exact simplification of support vector solutions
    • T. Downs, K. E. Gates, and A. Masters. Exact simplification of support vector solutions. J. Mach. Learn. Res., 2:293-297, 2002.
    • (2002) J. Mach. Learn. Res , vol.2 , pp. 293-297
    • Downs, T.1    Gates, K.E.2    Masters, A.3
  • 4
    • 0031211090 scopus 로고    scopus 로고
    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Aug
    • Y. Freund and R. Schapire. A decision-theoretic generalization of on-line learning and an application to boosting. Journal, of Computer and System Sciences, 55(1): 119-139, Aug. 1997.
    • (1997) Journal, of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.2
  • 7
    • 0003120218 scopus 로고    scopus 로고
    • Fast training of support vector machines using sequential minimal optimization
    • B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Cambridge, MA, MIT Press
    • J. Platt. Fast training of support vector machines using sequential minimal optimization. In B. Schölkopf, C. J. C. Burges, and A. J. Smola, editors, Advances in Kernel Methods -Support Vector Learning, pages 185-208, Cambridge, MA, 1999. MIT Press.
    • (1999) Advances in Kernel Methods -Support Vector Learning , pp. 185-208
    • Platt, J.1
  • 8
    • 0033281701 scopus 로고    scopus 로고
    • Improved boosting algorithms using confidence-rated predictions
    • Dec
    • R. Schapire and Y. Singer. Improved boosting algorithms using confidence-rated predictions. Machine Learning, 37(3):297-336, Dec. 1999.
    • (1999) Machine Learning , vol.37 , Issue.3 , pp. 297-336
    • Schapire, R.1    Singer, Y.2
  • 10
    • 33847284080 scopus 로고    scopus 로고
    • B. Schölkopf, A. Smola, R. Williamson, and P. Bartlett. New support vector algorithms. NeuroCOLT Technical Report NC-TR-98-031, Royal Holloway College, University of London, UK, 1998.
    • B. Schölkopf, A. Smola, R. Williamson, and P. Bartlett. New support vector algorithms. NeuroCOLT Technical Report NC-TR-98-031, Royal Holloway College, University of London, UK, 1998.
  • 11
    • 12444265838 scopus 로고    scopus 로고
    • Cosistency of support vector machines and other regularized kernel classifiers
    • January
    • I. Steinwart. Cosistency of support vector machines and other regularized kernel classifiers. IEEE Transactions on Information Theory, 51(1): 128-142, January 2005.
    • (2005) IEEE Transactions on Information Theory , vol.51 , Issue.1 , pp. 128-142
    • Steinwart, I.1
  • 12
    • 84956981949 scopus 로고    scopus 로고
    • Performance degradation in boosting
    • J. Kittler and F. Roli, editors, Proceedings of the 2nd International Workshop on Multiple Classifier Systems MCS2001, of, Springer
    • J. Wickramaratna, S. Holden, and B. Buxton. Performance degradation in boosting. In J. Kittler and F. Roli, editors, Proceedings of the 2nd International Workshop on Multiple Classifier Systems MCS2001, volume 2096 of LNCS, pages 11-21. Springer, 2001.
    • (2001) LNCS , vol.2096 , pp. 11-21
    • Wickramaratna, J.1    Holden, S.2    Buxton, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.