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Volumn , Issue , 2002, Pages 641-648

Boosting Density Estimation

Author keywords

[No Author keywords available]

Indexed keywords

GRADIENT METHODS;

EID: 85156234551     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (36)

References (21)
  • 7
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    • Greedy function approximation: A gradient boosting machine
    • J.H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, Vol. 29 No. 5, 2001.
    • (2001) Annals of Statistics , vol.29 , Issue.5
    • Friedman, J.H.1
  • 8
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: a statistical view of boosting
    • J.H. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. Annals of Statistics, Vol. 28 pp. 337-407, 2000.
    • (2000) Annals of Statistics , vol.28 , pp. 337-407
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 9
    • 0000498409 scopus 로고    scopus 로고
    • Being bayesian about network structure: A bayesian approach to structure discovery in bayesian networks
    • N. Friedman and D. Koller. Being bayesian about network structure: A bayesian approach to structure discovery in bayesian networks. Machine Learning Journal, 2002.
    • (2002) Machine Learning Journal
    • Friedman, N.1    Koller, D.2
  • 11
    • 0002370418 scopus 로고    scopus 로고
    • A tutorial on learning with Bayesian networks
    • M. I. Jordan, editor, MIT Press, Cambridge, MA
    • D. Heckerman. A tutorial on learning with Bayesian networks. In M. I. Jordan, editor, Learning in Graphical Models. MIT Press, Cambridge, MA, 1998.
    • (1998) Learning in Graphical Models
    • Heckerman, D.1
  • 12
    • 0034616930 scopus 로고    scopus 로고
    • Functional discovery via a compendium of expression profiles
    • T. R. Hughes et al. Functional discovery via a compendium of expression profiles. Cell, 102(1):109-26, 2000.
    • (2000) Cell , vol.102 , Issue.1 , pp. 109-126
    • Hughes, T. R.1
  • 13
    • 0000034034 scopus 로고    scopus 로고
    • Boosting algorithms as gradient descent in function space
    • L. Mason, J. Baxter, P. Bartlett, and P. Frean. Boosting algorithms as gradient descent in function space. In Proc. NIPS, number 12, pages 512-518, 1999.
    • (1999) Proc. NIPS , Issue.12 , pp. 512-518
    • Mason, L.1    Baxter, J.2    Bartlett, P.3    Frean, P.4
  • 15
    • 20244389637 scopus 로고    scopus 로고
    • Inferring subnetworks from perturbed expression profiles
    • D. Pe'er, A. Regev, G. Elidan, and N. Friedman. Inferring subnetworks from perturbed expression profiles. In ISMB'01, 2001.
    • (2001) ISMB'01
    • Pe'er, D.1    Regev, A.2    Elidan, G.3    Friedman, N.4
  • 18
    • 0032280519 scopus 로고    scopus 로고
    • Boosting the margin: a new explanation for the effectiveness of voting methods
    • R.E. Scahpire, Y. Freund, P. Bartlett, and W.S. Lee. Boosting the margin: a new explanation for the effectiveness of voting methods. Annals of Statistics, Vol. 26 No. 5, 1998.
    • (1998) Annals of Statistics , vol.26 , Issue.5
    • Scahpire, R.E.1    Freund, Y.2    Bartlett, P.3    Lee, W.S.4
  • 19
    • 0031742022 scopus 로고    scopus 로고
    • Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization
    • P. T. Spellman et al. Comprehensive identification of cell cycle-regulated genes of the yeast saccharomyces cerevisiae by microarray hybridization. Mol. Biol. Cell, 9(12):3273-97, 1998.
    • (1998) Mol. Biol. Cell , vol.9 , Issue.12 , pp. 3273-3297
    • Spellman, P. T.1
  • 21
    • 84898985725 scopus 로고    scopus 로고
    • A gradient-based boosting algorithm for regression problems
    • R.S. Zemel and T. Pitassi. A gradient-based boosting algorithm for regression problems. In Proc. NIPS, 2001.
    • (2001) Proc. NIPS
    • Zemel, R.S.1    Pitassi, T.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.