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Volumn 2, Issue , 2005, Pages 925-930

Optimizing resources in model selection for support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA HANDLING; DATA STORAGE EQUIPMENT; ERROR CORRECTION; MATRIX ALGEBRA; PARAMETER ESTIMATION; QUADRATIC PROGRAMMING;

EID: 33745943016     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IJCNN.2005.1555976     Document Type: Conference Paper
Times cited : (4)

References (20)
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    • Kernel-based methods and function approximation
    • Washington
    • G. Baudat and F. Anouar, "Kernel-based methods and function approximation", Proceedings of the IJCNN, pp. 1244-1249, Washington, 2001.
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    • Baudat, G.1    Anouar, F.2
  • 4
    • 0034241361 scopus 로고    scopus 로고
    • Gradient-based optimization of hyper-parameters
    • Y. Bengio. "Gradient-Based Optimization of Hyper-Parameters", Neural Computation, 12(8):1889-1900, 2000.
    • (2000) Neural Computation , vol.12 , Issue.8 , pp. 1889-1900
    • Bengio, Y.1
  • 7
    • 0141430928 scopus 로고    scopus 로고
    • Radius margin bounds for support vector machines with the RBF kernel
    • K.-M. Chung, W.-C. Kao, C.-L. Sun, L.-L. Wang, and C.-J. Lin. Radius Margin Bounds for Support Vector Machines with the RBF Kernel. Neural Computation, 15(2003), 2643-2681.
    • (2003) Neural Computation , vol.15 , pp. 2643-2681
    • Chung, K.-M.1    Kao, W.-C.2    Sun, C.-L.3    Wang, L.-L.4    Lin, C.-J.5
  • 8
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V.N. Vapnik, "Support-Vector Networks", Machine Learning, vol. 20, no. 3, pp. 273-297, 1995.
    • (1995) Machine Learning , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.N.2
  • 9
    • 0032203257 scopus 로고    scopus 로고
    • Gradient-based learning applied to document recognition
    • Nov
    • Y. LeCun, L. Bottom, Y. Bengio, P. Haffner, "Gradient-Based Learning Applied to Document Recognition", Proceedings of the the IEEE, vol. 86, no. 11, pp. 2278-2324, Nov 1998.
    • (1998) Proceedings of the the IEEE , vol.86 , Issue.11 , pp. 2278-2324
    • LeCun, Y.1    Bottom, L.2    Bengio, Y.3    Haffner, P.4
  • 10
    • 10044295425 scopus 로고    scopus 로고
    • A note on platt's probabilistic outputs for support vector machines
    • May
    • H.-T. Lin, C.-J. Lin, and Ruby. C. Weng. "A Note on Platt's Probabilistic Outputs for Support Vector Machines", Technical Report, May 2003.
    • (2003) Technical Report
    • Lin, H.-T.1    Lin, C.-J.2    Weng, R.C.3
  • 18
    • 0040864988 scopus 로고
    • Principles of risk minimization for learning theory
    • John E. Moody et al. (Eds.) Morgan Kaufman Publishers, San Mateo, CA
    • V. N. Vapnik, "Principles of Risk Minimization for Learning Theory", pp. 831838 in John E. Moody et al. (Eds.) Advances in Neural Information Processing Systems 4, Morgan Kaufman Publishers, San Mateo, CA, 1992.
    • (1992) Advances in Neural Information Processing Systems , vol.4 , pp. 831838
    • Vapnik, V.N.1
  • 19
    • 0033350009 scopus 로고    scopus 로고
    • Margin-like quantities and generalized approximate cross validation for support vector machines
    • Neural Networks for Signal Processing IX, 1999. 23-25 Aug.
    • G. Wahba, Y. Lin and H. Zhang, "Margin-like quantities and generalized approximate cross validation for support vector machines", Neural Networks for Signal Processing IX, 1999. Proceedings of the 1999 IEEE Signal Processing Society Workshop, pp. 12-20, 23-25 Aug. 1999
    • (1999) Proceedings of the 1999 IEEE Signal Processing Society Workshop , pp. 12-20
    • Wahba, G.1    Lin, Y.2    Zhang, H.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.