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Volumn 96, Issue 3, 2009, Pages 513-527

Adaptive regularization using the entire solution surface

Author keywords

Homotopy; L norm; L1 norm; Lasso; Subgradient; Support vector machine; Variable grouping and selection

Indexed keywords


EID: 69249199188     PISSN: 00063444     EISSN: 14643510     Source Type: Journal    
DOI: 10.1093/biomet/asp038     Document Type: Article
Times cited : (11)

References (12)
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  • 3
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    • Simultaneous regression shrinkage, variable selection, and supervised clustering of predictors with OSCAR
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    • Bondell, H.D.1    Reich, B.J.2
  • 4
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    • Submodel selection and evaluation in regression-the X random case
    • BREIMAN, L. & SPECTOR, P. (1992). Submodel selection and evaluation in regression-the X random case. Technometrics 60, 291-319.
    • (1992) Technometrics , vol.60 , pp. 291-319
    • Breiman, L.1    Spector, P.2
  • 6
    • 34548275795 scopus 로고    scopus 로고
    • The Dantzig selector: Statistical estimation when p is much larger than n (with discussion)
    • CAND̀ES, E. J. & TAO, T. (2007). The Dantzig selector: statistical estimation when p is much larger than n (with discussion). Ann. Statist. 35, 2313-51.
    • (2007) Ann. Statist. , vol.35 , pp. 2313-51
    • Cand̀es, E.J.1
  • 7
    • 33144483155 scopus 로고    scopus 로고
    • Stable recovery of sparse overcomplete representations in the presence of noise
    • DONOHO, D. L., ELAD, M. & TEMLYAKOV, V. N. (2006). Stable recovery of sparse overcomplete representations in the presence of noise. IEEE Trans. Info. Theory 52, 6-18.
    • (2006) IEEE Trans. Info. Theory , vol.52 , pp. 6-18
    • Donoho, D.L.1    Elad, M.2    Temlyakov, V.N.3
  • 8
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    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • DUDOIT, S., FRIDLYAND, J. & SPEED, T. P. (2002). Comparison of discrimination methods for the classification of tumors using gene expression data. J. Am. Statist. Assoc. 97, 77-87.
    • (2002) J. Am. Statist. Assoc. , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.P.3
  • 10
    • 53849086824 scopus 로고    scopus 로고
    • Sure independence screening for ultra-high dimensional feature space (with discussion)
    • FAN, J. & LV, J. (2008). Sure independence screening for ultra-high dimensional feature space (with discussion). J. R. Statist. Soc. B 70, 849-911.
    • (2008) J. R. Statist. Soc. B , vol.70 , pp. 849-911
    • Fan, J.1    Lv, J.2
  • 12
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    • The entire regularization path for the support vector machine
    • dom' of the lasso. Ann. Statist. 35, 2173-92.
    • HASTIE, T. J., ROSSET, S., TIBSHIRANI, R. J. & ZHU, J. (2004). The entire regularization path for the support vector machine. J. Mach. Learn. Res. 5, 1391-415.dom' of the lasso. Ann. Statist. 35, 2173-92.
    • (2004) J. Mach. Learn. Res. , vol.5 , pp. 1391-1415
    • Hastie, T.J.1    Rosset, S.2    Tibshirani, R.J.3    Zhu, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.