메뉴 건너뛰기




Volumn 39, Issue 2, 2012, Pages 1687-1697

QBoost: Predicting quantiles with boosting for regression and binary classification

Author keywords

Binary classification; Boosting; Functional gradient algorithm; Quantile regression

Indexed keywords

BINARY CLASSIFICATION; BOOSTING; CLASS LABELS; CLASSIFICATION ALGORITHM; FUNCTIONAL GRADIENT; FUNCTIONAL GRADIENT ALGORITHM; FUNCTIONAL GRADIENT DESCENT; FUNCTIONAL SPACES; GRADIENT DESCENT; HIDDEN VARIABLE; HIGH DIMENSIONAL SPACES; OBJECTIVE FUNCTIONS; QUANTILE REGRESSION;

EID: 80054899703     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2011.06.060     Document Type: Conference Paper
Times cited : (28)

References (36)
  • 1
    • 41549141939 scopus 로고    scopus 로고
    • Boosting algorithms: Regularization, prediction and model fitting
    • P. Bühlmann, and T. Hothorn Boosting algorithms: Regularization, prediction and model fitting Statistical Science 22 2007 477 505
    • (2007) Statistical Science , vol.22 , pp. 477-505
    • Bühlmann, P.1    Hothorn, T.2
  • 3
    • 33845251804 scopus 로고    scopus 로고
    • A gentle introduction to quantile regression for ecologists
    • B.S. Cade, and B.R. Noon A gentle introduction to quantile regression for ecologists Frontiers in Ecology and the Environment 1 8 2003 412 420
    • (2003) Frontiers in Ecology and the Environment , vol.1 , Issue.8 , pp. 412-420
    • Cade, B.S.1    Noon, B.R.2
  • 4
    • 0038391397 scopus 로고    scopus 로고
    • Boosting for tumor classification with gene expression data
    • DOI 10.1093/bioinformatics/btf867
    • M. Dettling, and P. Bühlmann Boosting for tumor classification with gene expression data Bioinformatics 19 2003 1061 1069 (Pubitemid 36790007)
    • (2003) Bioinformatics , vol.19 , Issue.9 , pp. 1061-1069
    • Dettling, M.1    Buhlmann, P.2
  • 6
    • 0036568038 scopus 로고    scopus 로고
    • Boosting methods for regression
    • DOI 10.1023/A:1013685603443, Computational Learning Theory
    • N. Duffy, and D. Helmbold Boosting methods for regression Machine Learning 47 2002 153 200 (Pubitemid 34126109)
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 153-200
    • Duffy, N.1    Helmbold, D.2
  • 8
    • 0031211090 scopus 로고    scopus 로고
    • A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting
    • Y. Freund, and R. Schapire A decision-theoretic generalization of on-line learning and an application to boosting Journal of Computer and System Sciences 55 1997 119 139 (Pubitemid 127433398)
    • (1997) Journal of Computer and System Sciences , vol.55 , Issue.1 , pp. 119-139
    • Freund, Y.1    Schapire, R.E.2
  • 9
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J. Friedman Greedy function approximation: A gradient boosting machine Annals of Statistics 29 2001 1189 1232 (Pubitemid 33405972)
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 10
    • 0034164230 scopus 로고    scopus 로고
    • AAdditive logistic regression: A statistical view of boosting
    • J. Friedman, T. Hastie, and R. Tibshirani Additive logistic regression: A statistical view of boosting Annals of Statistics 28 2000 337 407 (Pubitemid 33227445)
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-407
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 12
    • 0001834407 scopus 로고
    • Hierarchical spline models for conditional quantiles and the demand for electricity
    • W. Hendricks, and R. Koenker Hierarchical spline models for conditional quantiles and the demand for electricity Journal of the American Statistical Association 93 1992 58 68
    • (1992) Journal of the American Statistical Association , vol.93 , pp. 58-68
    • Hendricks, W.1    Koenker, R.2
  • 14
    • 84925105967 scopus 로고    scopus 로고
    • 1st ed. Cambridge University Press New York
    • R. Koenker Quantile regression 1st ed. 2005 Cambridge University Press New York
    • (2005) Quantile Regression
    • Koenker, R.1
  • 16
  • 19
    • 33646407294 scopus 로고    scopus 로고
    • Smoothed binary regression quantiles
    • DOI 10.1002/jae.843
    • G. Kordas Smoothed binary regression quantiles Journal of Applied Econometrics 21 2006 387 407 (Pubitemid 43680619)
    • (2006) Journal of Applied Econometrics , vol.21 , Issue.3 , pp. 387-407
    • Kordas, G.1
  • 20
    • 80052065790 scopus 로고    scopus 로고
    • Boosting the quantile distribution: A cost-sensitive statistical learning procedure
    • University of California, Los Angeles
    • Kriegler, B.; & Berk, R. (2007). Boosting the quantile distribution: A cost-sensitive statistical learning procedure. Technical Report, Department of Statitics, University of California, Los Angeles.
    • (2007) Technical Report, Department of Statitics
    • Kriegler, B.1    Berk, R.2
  • 24
    • 0000305992 scopus 로고
    • Semiparametric analysis of discrete response: Asymptotic properties of the maximum score estimator
    • C.F. Manski Semiparametric analysis of discrete response: Asymptotic properties of the maximum score estimator Journal of Economics 27 1985 313 333
    • (1985) Journal of Economics , vol.27 , pp. 313-333
    • Manski, C.F.1
  • 27
    • 33947284406 scopus 로고    scopus 로고
    • Boosted classification trees and class probability/quantile estimation
    • D. Mease, A.J. Wyner, and A. Buja Boosted classification trees and class probability/quantile estimation Journal of Machine Learning Research 8 2007 409 439 (Pubitemid 46434120)
    • (2007) Journal of Machine Learning Research , vol.8 , pp. 409-439
    • Mease, D.1    Wyner, A.J.2    Buja, A.3
  • 30
    • 34547673383 scopus 로고    scopus 로고
    • Cost-sensitive boosting for classification of imbalanced data
    • DOI 10.1016/j.patcog.2007.04.009, PII S0031320307001835
    • Y. Sun, M. Kamel, A. Wong, and Y. Wang Cost-sensitive boosting for classification of imbalanced data Pattern Recognition 40 2007 3358 3378 (Pubitemid 47223287)
    • (2007) Pattern Recognition , vol.40 , Issue.12 , pp. 3358-3378
    • Sun, Y.1    Kamel, M.S.2    Wong, A.K.C.3    Wang, Y.4
  • 35
    • 68149091660 scopus 로고    scopus 로고
    • Variable selection in quantile regression
    • Y. Wu, and Y. Liu Variable selection in quantile regression Statistica Sinica 19 2009 801 817
    • (2009) Statistica Sinica , vol.19 , pp. 801-817
    • Wu, Y.1    Liu, Y.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.