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Volumn , Issue , 2010, Pages

Moreau-Yosida regularization for grouped tree structure learning

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; FORESTRY;

EID: 85161968806     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (157)

References (23)
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    • 85014561619 scopus 로고    scopus 로고
    • A fast iterative shrinkage-thresholding algorithm for linear inverse problems
    • A. Beck and M. Teboulle. A fast iterative shrinkage-thresholding algorithm for linear inverse problems. SIAM Journal on Imaging Sciences, 2(1):183-202, 2009.
    • (2009) SIAM Journal on Imaging Sciences , vol.2 , Issue.1 , pp. 183-202
    • Beck, A.1    Teboulle, M.2
  • 9
    • 77956548668 scopus 로고    scopus 로고
    • Tree-guided group lasso for multi-task regression with structured sparsity
    • S. Kim and E. P. Xing. Tree-guided group lasso for multi-task regression with structured sparsity. In International Conference on Machine Learning, 2010.
    • (2010) International Conference on Machine Learning
    • Kim, S.1    Xing, E.P.2
  • 10
    • 0040165092 scopus 로고    scopus 로고
    • Practical aspects of the moreau-yosida regularization i: Theoretical properties
    • C. Lemaréchal and C. Sagastizábal. Practical aspects of the Moreau-Yosida regularization I: Theoretical properties. SIAM Journal on Optimization, 7(2):367-385, 1997.
    • (1997) SIAM Journal on Optimization , vol.7 , Issue.2 , pp. 367-385
    • Lemaréchal, C.1    Sagastizábal, C.2
  • 19
    • 67651063011 scopus 로고    scopus 로고
    • Gradient methods for minimizing composite objective function
    • Y. Nesterov. Gradient methods for minimizing composite objective function. CORE Discussion Paper, 2007.
    • (2007) CORE Discussion Paper
    • Nesterov, Y.1
  • 22
    • 33645035051 scopus 로고    scopus 로고
    • Model selection and estimation in regression with grouped variables
    • M. Yuan and Y. Lin. Model selection and estimation in regression with grouped variables. Journal Of The Royal Statistical Society Series B, 68(1):49-67, 2006.
    • (2006) Journal of the Royal Statistical Society Series B , vol.68 , Issue.1 , pp. 49-67
    • Yuan, M.1    Lin, Y.2
  • 23
    • 69949155103 scopus 로고    scopus 로고
    • The composite absolute penalties family for grouped and hierarchical variable selection
    • P. Zhao, G. Rocha, and B. Yu. The composite absolute penalties family for grouped and hierarchical variable selection. Annals of Statistics, 37(6A):3468-3497, 2009.
    • (2009) Annals of Statistics , vol.37 , Issue.6 A , pp. 3468-3497
    • Zhao, P.1    Rocha, G.2    Yu, B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.