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Volumn , Issue , 2012, Pages 375-380

L1-based compression of random forest models

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPLEX NETWORKS; DECISION TREES; NEURAL NETWORKS;

EID: 84947706844     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (24)

References (14)
  • 6
    • 84988734041 scopus 로고    scopus 로고
    • Forest garrote. Electron
    • N. Meinshausen. Forest garrote. Electron. J. Statist., 3:1288–1304, 2009. 1
    • (2009) J. Statist , Issue.3 , pp. 1288-1304
    • Meinshausen, N.1
  • 9
    • 85194972808 scopus 로고    scopus 로고
    • Regression shrinkage and selection via the lasso
    • Series B (Methodological)
    • R. Tibshirani. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological), pages 267–288, 1996. 1, 2
    • (1996) Journal of the Royal Statistical Society , pp. 267-288
    • Tibshirani, R.1
  • 12
    • 0003619255 scopus 로고    scopus 로고
    • Bias, variance, and arcing classifiers
    • L. Breiman. Bias, variance, and arcing classifiers. Statistics, 1996. 3
    • (1996) Statistics
    • Breiman, L.1
  • 13
    • 84947806811 scopus 로고    scopus 로고
    • Semiconductor tool fault isolation
    • Intel AA&YA. Manufacturing data: Semiconductor tool fault isolation, 11 2008. 3
    • (2008) , vol.11 , pp. 3
  • 14
    • 85032750937 scopus 로고    scopus 로고
    • An introduction to compressive sampling. Signal Processing Magazine
    • E. J. Candés and M. B. Wakin. An introduction to compressive sampling. Signal Processing Magazine, IEEE, 25(2):21–30, 2008. 6
    • (2008) IEEE , vol.25 , Issue.2 , pp. 21-30
    • Candés, E.J.1    Wakin, M.B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.