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Volumn 10, Issue , 2009, Pages 555-568

On the consistency of feature selection using greedy least squares regression

Author keywords

Feature selection; Greedy algorithm; Sparsity

Indexed keywords

DESIGN MATRICES; EIGEN VALUES; FEATURE SELECTION; FEATURE SELECTION PROBLEMS; GREEDY ALGORITHM; LEAST SQUARES REGRESSIONS; NOISE LEVELS; NON-ZERO COEFFICIENTS; SAMPLE SIZES; SPARSITY; WORST CASE;

EID: 64149088421     PISSN: 15324435     EISSN: 15337928     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (138)

References (8)
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  • 2
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    • High-dimensional graphs and variable selection with the Lasso
    • Nicolai Meinshausen and Peter Buhlmann. High-dimensional graphs and variable selection with the Lasso. The Annals of Statistics, 34:1436-1462, 2006.
    • (2006) The Annals of Statistics , vol.34 , pp. 1436-1462
    • Meinshausen, N.1    Buhlmann, P.2
  • 3
    • 65349193793 scopus 로고    scopus 로고
    • Lasso-type recovery of sparse representations for highdimensional data
    • to appear
    • Nicolai Meinshausen and Bin Yu. Lasso-type recovery of sparse representations for highdimensional data. Annals of Statistics, 2008. to appear.
    • (2008) Annals of Statistics
    • Meinshausen, N.1    Yu, B.2
  • 4
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    • B. K. Natarajan. Sparse approximate solutions to linear systems. SIAM J. Comput., 24(2):227-234, 1995. ISSN 0097-5397.
    • B. K. Natarajan. Sparse approximate solutions to linear systems. SIAM J. Comput., 24(2):227-234, 1995. ISSN 0097-5397.
  • 5
    • 5444237123 scopus 로고    scopus 로고
    • Greed is good: Algorithmic results for sparse approximation
    • Joel A. Tropp. Greed is good: Algorithmic results for sparse approximation. IEEE Trans. Info. Theory, 50(10):2231-2242, 2004.
    • (2004) IEEE Trans. Info. Theory , vol.50 , Issue.10 , pp. 2231-2242
    • Tropp, J.A.1
  • 6
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    • 1 regularization. The Annals of Statistics, 2009. to appear.
    • 1 regularization. The Annals of Statistics, 2009. to appear.
  • 7
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    • Tong Zhang. Forward-backward greedy algorithm for learning sparse representations. Technical report, Rutgers Statistics Department, 2008. A short version is to appear in NIPS 08.
    • Tong Zhang. Forward-backward greedy algorithm for learning sparse representations. Technical report, Rutgers Statistics Department, 2008. A short version is to appear in NIPS 08.
  • 8
    • 33845263263 scopus 로고    scopus 로고
    • On model selection consistency of Lasso
    • Peng Zhao and Bin Yu. On model selection consistency of Lasso. Journal of Machine Learning Research, 7:2541-2567, 2006.
    • (2006) Journal of Machine Learning Research , vol.7 , pp. 2541-2567
    • Zhao, P.1    Yu, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.