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Volumn , Issue , 2001, Pages

A gradient-based boosting algorithm for regression problems

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE BOOSTING; REGRESSION ANALYSIS;

EID: 84898985725     PISSN: 10495258     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (75)

References (17)
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    • A decision-theoretic generalization of on-line learning and an application to boosting
    • Freund, Y. & Schapire, R. E. (1997). A decision-theoretic generalization of on-line learning and an application to boosting. Journal of Comp. and System Sci., 55, 119-139.
    • (1997) Journal of Comp. and System Sci. , vol.55 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 5
    • 0003591748 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • Stanford University
    • Friedman, J. H. (1999). Greedy function approximation: A gradient boosting machine. TR, Dept. of Statistics, Stanford University.
    • (1999) TR, Dept. of Statistics
    • Friedman, J.H.1
  • 6
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • To appear
    • Friedman, J. H., Hastie, T., & Tibshirani, R. (1999). Additive logistic regression: A statistical view of boosting. Annals of Statistics, To appear.
    • (1999) Annals of Statistics
    • Friedman, J.H.1    Hastie, T.2    Tibshirani, R.3
  • 9
    • 0001691634 scopus 로고    scopus 로고
    • Bias-variance decompositions for likelihood-based estimators
    • Heskes, T. (1998). Bias-variance decompositions for likelihood-based estimators. Neural Computation, 10, 1425-1433.
    • (1998) Neural Computation , vol.10 , pp. 1425-1433
    • Heskes, T.1
  • 12
    • 35348913566 scopus 로고    scopus 로고
    • Towards a strategy for boosting regressors
    • Smola, Bartlett, Schölkopf & Schuurmans (Eds.)
    • Karakoulas, G., & Shawe-Taylor, J. (1999). Towards a strategy for boosting regressors. In Advances in Large Margin Classifiers, Smola, Bartlett, Schölkopf & Schuurmans (Eds.).
    • (1999) Advances in Large Margin Classifiers
    • Karakoulas, G.1    Shawe-Taylor, J.2
  • 13
    • 0000749354 scopus 로고
    • Neural network ensembles, cross-validation, and active learning
    • Krogh, A. & Vedelsby, J. (1995). Neural network ensembles, cross-validation, and active learning. In MPS 7.
    • (1995) MPS , vol.7
    • Krogh, A.1    Vedelsby, J.2
  • 14
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    • Boosting algorithms as gradient descent in function space
    • Mason, L., Baxter, J., Bartlett, P., & Frean, M. (1999). Boosting algorithms as gradient descent in function space. In NIPS 11.
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    • The strength of weak learnability
    • Schapire, R. E. (1990). The strength of weak learnability. Machine Learning, 5, 197-227.
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    • Improved boosting algorithms using confidence-rated precitions
    • Schapire, R. E. & Singer, Y. (1998). Improved boosting algorithms using confidence-rated precitions. In Proceedings of COLT, 11.
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    • Schapire, R.E.1    Singer, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.