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Volumn 16, Issue 4, 2007, Pages 782-798

Variable selection via A combination of the L0 and L1 penalties

Author keywords

Mixed integer programming; Regression; Regularization; SVM; Variable selection

Indexed keywords


EID: 38049162221     PISSN: 10618600     EISSN: None     Source Type: Journal    
DOI: 10.1198/106186007X255676     Document Type: Article
Times cited : (67)

References (19)
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    • Fan, J.1    Li, R.2
  • 7
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    • Frank, I.E.1    Friedman, J.H.2
  • 10
    • 84942484786 scopus 로고
    • Ridge Regression: Biased Estimation for Nonorthogonal Problems
    • Hoerl, A. E., and Kennard, R. W. (1970), "Ridge Regression: Biased Estimation for Nonorthogonal Problems," Technometries, 12, 55-67.
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    • Hoerl, A.E.1    Kennard, R.W.2
  • 12
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    • Asymptotics for Lasso-Type Estimators
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    • Knight, K.1    Fu, W.J.2
  • 13
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    • Multicategory ψ-Learning and Support Vector Machine: Computational Tools
    • Liu, Y., Shen, X., and Doss, H. (2005), "Multicategory ψ-Learning and Support Vector Machine: Computational Tools," Journal of Computational and Graphical Statistics, 14, 219-236.
    • (2005) Journal of Computational and Graphical Statistics , vol.14 , pp. 219-236
    • Liu, Y.1    Shen, X.2    Doss, H.3
  • 14
    • 33746134514 scopus 로고    scopus 로고
    • Optimizing ψ-Learning via Mixed Integer Programming
    • Liu, Y., and Wu, Y. (2006), "Optimizing ψ-Learning via Mixed Integer Programming," Statistica Sinica, 16, 2, 441-457.
    • (2006) Statistica Sinica , vol.16 , Issue.2 , pp. 441-457
    • Liu, Y.1    Wu, Y.2
  • 19
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    • Zhu, J., Hastie, T., Rosset, S., and Tibshirani, R. (2003), 1-norm Support Vector Machines, Neural Information Processing Systems, 16.
    • Zhu, J., Hastie, T., Rosset, S., and Tibshirani, R. (2003), "1-norm Support Vector Machines," Neural Information Processing Systems, 16.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.