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Volumn 178, Issue , 2008, Pages 132-136

Online optimization for variable selection in data streams

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE;

EID: 84988896527     PISSN: 09226389     EISSN: 18798314     Source Type: Book Series    
DOI: 10.3233/978-1-58603-891-5-132     Document Type: Conference Paper
Times cited : (10)

References (17)
  • 1
    • 0000501656 scopus 로고
    • Information theory and an extension of the maximum likelihood principle
    • nd, Tsahkadsor, Armenian SSR
    • H. Akaike, ‘Information theory and an extension of the maximum likelihood principle’, Intern. Symposium on Information Theory, 2 nd, Tsahkadsor, Armenian SSR, 267–281, (1973).
    • (1973) Intern. Symposium on Information Theory , vol.2 , pp. 267-281
    • Akaike, H.1
  • 3
    • 56749155084 scopus 로고    scopus 로고
    • Deciding what to observe next: Adaptive variable selection for regression in multivariate data streams
    • C. Anagnostopoulos, N.M. Adams, and D.J. Hand, ‘Deciding what to observe next: adaptive variable selection for regression in multivariate data streams’, Proc. of ACM Symposium on Applied Computing, 2, (2008).
    • (2008) Proc. of ACM Symposium on Applied Computing , vol.2
    • Anagnostopoulos, C.1    Adams, N.M.2    Hand, D.J.3
  • 4
    • 0030344230 scopus 로고    scopus 로고
    • Heuristics of instability and stabilization in model selection
    • L. Breiman, ‘Heuristics of instability and stabilization in model selection.’, The Annals of Statistics, 24(6), 2350–2383, (1996).
    • (1996) The Annals of Statistics , vol.24 , Issue.6 , pp. 2350-2383
    • Breiman, L.1
  • 10
    • 0032361278 scopus 로고    scopus 로고
    • Penalized regressions: The bridge versus the lasso
    • W.J. Fu, ‘Penalized regressions: the Bridge versus the Lasso’, Journal of Computational and Graphical Statistics, 7(3), 397–416, (1998).
    • (1998) Journal of Computational and Graphical Statistics , vol.7 , Issue.3 , pp. 397-416
    • Fu, W.J.1
  • 13
    • 0003807773 scopus 로고    scopus 로고
    • Prentice-Hall, Inc. Upper Saddle River, NJ, USA
    • S. Haykin, Adaptive Filter Theory, Prentice-Hall, Inc. Upper Saddle River, NJ, USA, 1996.
    • (1996) Adaptive Filter Theory
    • Haykin, S.1
  • 17
    • 34548536008 scopus 로고    scopus 로고
    • On the “degrees of freedom” of the lasso
    • H. Zou, T. Hastie, and R. Tibshirani, ‘On the “Degrees of Freedom” of the Lasso’, Ann. Statist, 35(5), 2173–2192, (2007).
    • (2007) Ann. Statist , vol.35 , Issue.5 , pp. 2173-2192
    • Zou, H.1    Hastie, T.2    Tibshirani, R.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.