메뉴 건너뛰기




Volumn 56, Issue 4, 2014, Pages 594-596

Variable selection in large margin classifier-based probability estimation with high-dimensional predictors

Author keywords

Max type penalty; Regularization; Variable selection

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84903585060     PISSN: 03233847     EISSN: 15214036     Source Type: Journal    
DOI: 10.1002/bimj.201300251     Document Type: Note
Times cited : (3)

References (9)
  • 1
    • 80053013888 scopus 로고    scopus 로고
    • Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection
    • Breheny, P., Huang, J. (2011). Coordinate descent algorithms for nonconvex penalized regression, with applications to biological feature selection. Annals of Applied Statistics 5, 232-253.
    • (2011) Annals of Applied Statistics , vol.5 , pp. 232-253
    • Breheny, P.1    Huang, J.2
  • 2
    • 1542784498 scopus 로고    scopus 로고
    • Variable section via nonconcave penalized likelihood and its oracle properties
    • Fan, J. and Li, R. (2001). Variable section 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
  • 3
    • 77949352853 scopus 로고    scopus 로고
    • A selective overview of variable selection in high dimensional feature space
    • Fan, J. and Lv, J. (2010). A selective overview of variable selection in high dimensional feature space. Statistica Sinica 20, 101-148.
    • (2010) Statistica Sinica , vol.20 , pp. 101-148
    • Fan, J.1    Lv, J.2
  • 4
    • 84903648854 scopus 로고    scopus 로고
    • Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory
    • Kruppa, J., Liu, Y., Biau, G., Kohler, M, König, I. R., Malley, J. D. and Ziegler, A. (2014a). Probability estimation with machine learning methods for dichotomous and multicategory outcome: Theory. Biometrical Journal 56, 534-563.
    • (2014) Biometrical Journal , vol.56 , pp. 534-563
    • Kruppa, J.1    Liu, Y.2    Biau, G.3    Kohler, M.4    König, I.R.5    Malley, J.D.6    Ziegler, A.7
  • 5
    • 84903610080 scopus 로고    scopus 로고
    • Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications
    • Kruppa, J., Liu, Y., Diener, H.-C., Holste, T., Weimar, C., König, I. R. and Ziegler, A. (2014b). Probability estimation with machine learning methods for dichotomous and multicategory outcome: Applications. Biometrical Journal 56, 564-583.
    • (2014) Biometrical Journal , vol.56 , pp. 564-583
    • Kruppa, J.1    Liu, Y.2    Diener, H.-C.3    Holste, T.4    Weimar, C.5    König, I.R.6    Ziegler, A.7
  • 7
    • 40249094631 scopus 로고    scopus 로고
    • Probability estimation for large-margin classifiers
    • Wang, J., Shen, X. and Liu, Y. (2007). Probability estimation for large-margin classifiers. Biometrika 95, 149-167.
    • (2007) Biometrika , vol.95 , pp. 149-167
    • Wang, J.1    Shen, X.2    Liu, Y.3
  • 9
    • 47749133494 scopus 로고    scopus 로고
    • Variable selection for the multicategory svm via adaptive sup-norm regularization
    • Zhang, H. H., Liu, Y., Wu, Y. and Zhu, J. (2008). Variable selection for the multicategory svm via adaptive sup-norm regularization. Electronic Journal of Statistics 2, 149-167.
    • (2008) Electronic Journal of Statistics , vol.2 , pp. 149-167
    • Zhang, H.H.1    Liu, Y.2    Wu, Y.3    Zhu, J.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.