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Volumn , Issue , 2004, Pages

1-norm support vector machines

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS;

EID: 84899024917     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (454)

References (14)
  • 1
    • 0002709342 scopus 로고    scopus 로고
    • Feature selection via concave minimization and support vector machines
    • J. Shavlik (eds), Morgan Kaufmann
    • Bradley, P. & Mangasarian, O. (1998) Feature selection via concave minimization and support vector machines. In J. Shavlik (eds), ICML'98. Morgan Kaufmann.
    • (1998) ICML'98
    • Bradley, P.1    Mangasarian, O.2
  • 3
    • 3142617128 scopus 로고    scopus 로고
    • Discussion of "consistency in boosting" by W. Jiang, G. Lugosi, N. Vayatis and T. Zhang
    • To appear
    • Friedman, J., Hastie, T, Rosset, S, Tibshirani, R. & Zhu, J. (2004) Discussion of "Consistency in boosting" by W. Jiang, G. Lugosi, N. Vayatis and T. Zhang. Annals of Statistics. To appear.
    • (2004) Annals of Statistics
    • Friedman, J.1    Hastie, T.2    Rosset, S.3    Tibshirani, R.4    Zhu, J.5
  • 5
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classi£cation using support vector machines
    • Guyon, I., Weston, J., Barnhill, S. & Vapnik, V. (2002) Gene selection for cancer classi£cation using support vector machines. Machine Learning 46, 389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 8
  • 10
    • 0001287271 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Tibshirani, R. (1996) Regression shrinkage and selection via the lasso. J.R.S.S.B. 58, 267-288.
    • (1996) J.R.S.S.B , vol.58 , pp. 267-288
    • Tibshirani, R.1
  • 12
    • 0001873883 scopus 로고    scopus 로고
    • Support vector machine, reproducing kernel hilbert spaces and the randomized GACV
    • MIT Press
    • Wahba, G. (1999) Support vector machine, reproducing kernel Hilbert spaces and the randomized GACV. Advances in Kernel Methods - Support Vector Learning, 69-88, MIT Press.
    • (1999) Advances in Kernel Methods - Support Vector Learning , pp. 69-88
    • Wahba, G.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.