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Volumn 6, Issue , 2005, Pages

Smooth ε-insensitive regression by loss symmetrization

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; CONFORMAL MAPPING; FUNCTION EVALUATION; ITERATIVE METHODS; LEARNING ALGORITHMS; MATHEMATICAL MODELS; VECTORS;

EID: 21844442847     PISSN: 15337928     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (22)

References (17)
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    • Cesa-Bianchi, N.1
  • 3
    • 0036643072 scopus 로고    scopus 로고
    • Logistic regression, AdaBoost and Bregman distances
    • M. Collins, R.E. Schapire, and Y. Singer. Logistic regression, AdaBoost and Bregman distances. Machine Learning, 47(2/3):253-285, 2002.
    • (2002) Machine Learning , vol.47 , Issue.2-3 , pp. 253-285
    • Collins, M.1    Schapire, R.E.2    Singer, Y.3
  • 6
    • 0034164230 scopus 로고    scopus 로고
    • Additive logistic regression: A statistical view of boosting
    • April
    • J. Friedman, T. Hastie, and R. Tibshirani. Additive logistic regression: a statistical view of boosting. Annals of Statistics, 28(2):337-374, April 2000.
    • (2000) Annals of Statistics , vol.28 , Issue.2 , pp. 337-374
    • Friedman, J.1    Hastie, T.2    Tibshirani, R.3
  • 7
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • J.H. Friedman. Greedy function approximation: A gradient boosting machine. Annals of Statistics, 29(5):1189-1232, 2001.
    • (2001) Annals of Statistics , vol.29 , Issue.5 , pp. 1189-1232
    • Friedman, J.H.1
  • 9
  • 10
    • 0008815681 scopus 로고    scopus 로고
    • Exponentiated gradient versus gradient descent for linear predictors
    • January
    • J. Kivinen and M.K. Warmuth. Exponentiated gradient versus gradient descent for linear predictors. Information and Computation, 132(1):1-64, January 1997.
    • (1997) Information and Computation , vol.132 , Issue.1 , pp. 1-64
    • Kivinen, J.1    Warmuth, M.K.2
  • 12
    • 0042622454 scopus 로고
    • Generalized body composition prediction equation for men using simple measurement techniques
    • K.W. Penrose, A.G. Nelson, and A.G. Fisher. Generalized body composition prediction equation for men using simple measurement techniques. Medicine and Science in Sports and Exercise, 17(2):189, 1985.
    • (1985) Medicine and Science in Sports and Exercise , vol.17 , Issue.2 , pp. 189
    • Penrose, K.W.1    Nelson, A.G.2    Fisher, A.G.3
  • 13
    • 0025490985 scopus 로고
    • Networks for approximation and learning
    • T. Poggio and F. Girosi. Networks for approximation and learning. Proceedings of the IEEE, 78(9), 1990.
    • (1990) Proceedings of the IEEE , vol.78 , Issue.9
    • Poggio, T.1    Girosi, F.2
  • 16
    • 0003401675 scopus 로고    scopus 로고
    • A tutorial on support vector regression
    • NeuroCOLT2
    • A. Smola and B. Schölkopf. A tutorial on support vector regression. Technical Report NC2-TR-1998-030, NeuroCOLT2, 1998.
    • (1998) Technical Report , vol.NC2-TR-1998-030
    • Smola, A.1    Schölkopf, B.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.