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Volumn 2364, Issue , 2002, Pages 16-26

Support vector machines, kernel logistic regression and boosting

Author keywords

Classification; Kernel methods; Logistic regression; Multi class learning; Radial basis; Reproducing kernel Hilbert space (RKHS); Support vector machines

Indexed keywords

ADAPTIVE BOOSTING; CLASSIFICATION (OF INFORMATION); PROBABILITY; REGRESSION ANALYSIS; VECTOR SPACES; VECTORS;

EID: 84947609764     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-45428-4_2     Document Type: Conference Paper
Times cited : (8)

References (13)
  • 3
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting (with discussion)
    • Friedman, J., T. Hastie, and R. Tibshirani (2000). Additive logistic regression: a statistical view of boosting (with discussion). Annals of Statistics28, 337–307.
    • (2000) Annals of Statistics , vol.28 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 7
    • 0015000439 scopus 로고
    • Some results on tchebycheffian spline functions
    • Kimeldorf, G. and G. Wahba (1971). Some results on tchebycheffian spline functions. J. Math. Anal. Applic.33, 82–95.
    • (1971) J. Math. Anal. Applic , vol.33 , pp. 82-95
    • Kimeldorf, G.1    Wahba, G.2
  • 11
    • 0000290423 scopus 로고
    • Chapter Soft Classification, a.k.a. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance. Santa Fe Institute Studies in the Sciences of Complexity. Addison-Wesley
    • Wahba, G., C. Gu, Y. Wang, and R. Chappell (1995). The Mathematics of Generalization., Chapter Soft Classification, a.k.a. Risk Estimation, via Penalized Log Likelihood and Smoothing Spline Analysis of Variance. Santa Fe Institute Studies in the Sciences of Complexity. Addison-Wesley.
    • (1995) The Mathematics of Generalization
    • Wahba, G.1    Gu, C.2    Wang, Y.3    Chappell, R.4
  • 12
    • 0003267918 scopus 로고    scopus 로고
    • Gacv for support vector machines
    • A. Smola, P. Bartlett, B. Sch¨olkopf, and D. Schuurmans (Eds.), Cambridge, MA, MIT Press
    • Wahba, G., Y. Lin, and H. Zhang (2000). Gacv for support vector machines. In A. Smola, P. Bartlett, B. Sch¨olkopf, and D. Schuurmans (Eds.), Advances in Large Margin Classifiers, Cambridge, MA, pp. 297–311. MIT Press.
    • (2000) Advances in Large Margin Classifiers , pp. 297-311
    • Wahba, G.1    Lin, Y.2    Zhang, H.3
  • 13
    • 84899010839 scopus 로고    scopus 로고
    • Using the nystrom method to speed up kernel machines
    • . In T. K. Leen, T. G. Diettrich, and V. Tresp (Eds.), MIT Press
    • Williams, C. and M. Seeger (2001). Using the nystrom method to speed up kernel machines. In T. K. Leen, T. G. Diettrich, and V. Tresp (Eds.), Advances in Neural Information Processing Systems, Volume 13. MIT Press.
    • (2001) Advances in Neural Information Processing Systems , vol.13
    • Williams, C.1    Seeger, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.