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Volumn , Issue , 2005, Pages

Fast rates to bayes for kernel methods

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION PROPERTIES; BAYES RISK; FAST RATE; GEOMETRIC CONDITIONS; KERNEL METHODS; LEARNING RATES; RBF KERNELS; SUPPORT VECTOR MACHINE (SVMS);

EID: 84898950233     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (7)

References (13)
  • 1
    • 0036749277 scopus 로고    scopus 로고
    • Support vector machines are universally consistent
    • I. Steinwart. Support vector machines are universally consistent. J. Complexity, 18:768-791, 2002.
    • (2002) J. Complexity , vol.18 , pp. 768-791
    • Steinwart, I.1
  • 2
    • 4644257995 scopus 로고    scopus 로고
    • Statistical behaviour and consistency of classification methods based on convex risk minimization
    • T. Zhang. Statistical behaviour and consistency of classification methods based on convex risk minimization. Ann. Statist., 32:56-134, 2004.
    • (2004) Ann. Statist , vol.32 , pp. 56-134
    • Zhang, T.1
  • 3
    • 12444265838 scopus 로고    scopus 로고
    • Consistency of support vector machines and other regularized kernel machines
    • to appear
    • I. Steinwart. Consistency of support vector machines and other regularized kernel machines. IEEE Trans. Inform. Theory, to appear, 2005.
    • (2005) IEEE Trans. Inform. Theory
    • Steinwart, I.1
  • 5
    • 3142725508 scopus 로고    scopus 로고
    • Optimal aggregation of classifiers in statistical learning
    • A.B. Tsybakov. Optimal aggregation of classifiers in statistical learning. Ann. Statist., 32:135-166, 2004.
    • (2004) Ann. Statist. , vol.32 , pp. 135-166
    • Tsybakov, A.B.1
  • 6
    • 0033321586 scopus 로고    scopus 로고
    • Minimax nonparametric classification-part I and II
    • Y. Yang. Minimax nonparametric classification-part I and II. IEEE Trans. Inform. Theory, 45:2271-2292, 1999.
    • (1999) IEEE Trans. Inform. Theory , vol.45 , pp. 2271-2292
    • Yang, Y.1
  • 8
    • 0010786475 scopus 로고    scopus 로고
    • On the influence of the kernel on the consistency of support vector machines
    • I. Steinwart. On the influence of the kernel on the consistency of support vector machines. J. Mach. Learn. Res., 2:67-93, 2001.
    • (2001) J. Mach. Learn. Res. , vol.2 , pp. 67-93
    • Steinwart, I.1
  • 10
    • 84898963900 scopus 로고    scopus 로고
    • Fast rates for support vector machines
    • submitted
    • C. Scovel and I. Steinwart. Fast rates for support vector machines. Ann. Statist., submitted, 2003. http://www.c3.lanl.gov/ingo/publications/ann-03.ps.
    • (2003) Ann. Statist.
    • Scovel, C.1    Steinwart, I.2
  • 11
    • 34547418100 scopus 로고    scopus 로고
    • Statistical performance of support vector machines
    • submitted
    • G. Blanchard, O. Bousquet, and P. Massart. Statistical performance of support vector machines. Ann. Statist., submitted, 2004.
    • (2004) Ann. Statist.
    • Blanchard, G.1    Bousquet, O.2    Massart, P.3
  • 12
    • 0037749769 scopus 로고    scopus 로고
    • Estimating the approximation error in learning theory
    • S. Smale and D.-X. Zhou. Estimating the approximation error in learning theory. Anal. Appl., 1:17-41, 2003.
    • (2003) Anal. Appl. , vol.1 , pp. 17-41
    • Smale, S.1    Zhou, D.-X.2
  • 13
    • 4644354708 scopus 로고    scopus 로고
    • Sparseness of support vector machines
    • I. Steinwart. Sparseness of support vector machines. J. Mach. Learn. Res., 4:1071- 1105, 2003.
    • (2003) J. Mach. Learn. Res. , vol.4 , pp. 1071-1105
    • Steinwart, I.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.