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Volumn 2, Issue , 2007, Pages 675-681

An improved 1-norm SVM for simultaneous classification and variable selection

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION ACCURACY; DATA EXAMPLES; FEATURE SELECTION AND CLASSIFICATION; VARIABLE SELECTION;

EID: 79960299381     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Conference Paper
Times cited : (40)

References (16)
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    • Breiman, L.1
  • 2
    • 0002709342 scopus 로고    scopus 로고
    • Feature selection via concave minimization and support vector machines
    • J. Shavlik, ed., Morgan Kaufmann
    • Bradley, P. & Mangasarian, O. (1998), Feature selection via concave minimization and support vector machines, in J. Shavlik, ed., ICML'98, Morgan Kaufmann.
    • (1998) ICML'98
    • Bradley, P.1    Mangasarian, O.2
  • 3
    • 34548402488 scopus 로고    scopus 로고
    • UCI repository of machine learning databases
    • Irvine, CA: University of California
    • D.J. Newman, S. Hettich, C.B. & Merz, C. (1998), UCI repository of machine learning databases [http://www.ics.uci.edu/~mlearn/MLRepository.html]. Irvine, CA: University of California, Department of Information and Computer Science.
    • (1998) Department of Information and Computer Science
    • Newman, D.J.1    Hettich C B, S.2    Merz, C.3
  • 4
    • 1542784498 scopus 로고    scopus 로고
    • Variable Selection via nonconcave penalized likelihood and its oracle properties
    • Fan, J. & Li, R. (2001), Variable Selection via nonconcave penalized likelihood and its oracle properties, Journal of the American Statistical Association 96, 1348-1360.
    • (2001) Journal of the American Statistical Association , vol.96 , pp. 1348-1360
    • Fan, J.1    Li, R.2
  • 8
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., Weston, J., Barhill, S. & Vapnik, V. (2002), Gene selection for cancer classification using support vector machines. Machine Learning 46, 389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barhill, S.3    Vapnik, V.4
  • 10
    • 0036258405 scopus 로고    scopus 로고
    • Support vector machines and the Bayes rule in classification
    • Lin, Y. (2002), Support vector machines and the Bayes rule in classification, Data Mining and Knowledge Discovery 6, 259-275.
    • (2002) Data Mining and Knowledge Discovery , vol.6 , pp. 259-275
    • Lin, Y.1
  • 14
    • 39649111774 scopus 로고    scopus 로고
    • On the nonnegative garrote estimator
    • School of Industrial and Systems Engineering, Georgia Institute of Technology
    • Yuan, M. and Lin, Y. (2005), On the Nonnegative Garrote Estimator, Statistics Discussion Paper 2005-25, School of Industrial and Systems Engineering, Georgia Institute of Technology.
    • (2005) Statistics Discussion Paper 2005-25
    • Yuan, M.1    Lin, Y.2
  • 16
    • 33846114377 scopus 로고    scopus 로고
    • The adaptive lasso and its oracle properties
    • Zou, H. (2006), The Adaptive Lasso and Its Oracle Properties, Journal of the American Statistical Association, 101(476) 1418-1429.
    • (2006) Journal of the American Statistical Association , vol.101 , Issue.476 , pp. 1418-1429
    • Zou, H.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.