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Volumn 23, Issue 2, 2006, Pages 175-197

Recent advances in predictive (machine) learning

Author keywords

Boosting; Decision trees; Kernel methods; Machine learning; Support vector machine

Indexed keywords


EID: 33750697973     PISSN: 01764268     EISSN: 14321343     Source Type: Journal    
DOI: 10.1007/s00357-006-0012-4     Document Type: Article
Times cited : (75)

References (16)
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • BREIMAN, L. (1996), "Bagging Predictors", Machine Learning 26, 123-140.
    • (1996) Machine Learning , vol.26 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0006001358 scopus 로고    scopus 로고
    • Technical Report, University of California, Berkeley
    • BREIMAN, L. (2001), Random Forests, Random Features, Technical Report, University of California, Berkeley.
    • (2001) Random Forests, Random Features
    • Breiman, L.1
  • 7
    • 0035470889 scopus 로고    scopus 로고
    • Greedy function approximation: A gradient boosting machine
    • FRIEDMAN, J.H. (2002), "Greedy Function Approximation: A Gradient Boosting Machine", Annals of Statistics 29, 1189-1232.
    • (2002) Annals of Statistics , vol.29 , pp. 1189-1232
    • Friedman, J.H.1
  • 8
  • 10
    • 84942484786 scopus 로고
    • Ridge regression: Biased estimation for nonorthogonal problems
    • HOERL, A.E. and KENNARD, R. (1970), "Ridge Regression: Biased Estimation for Nonorthogonal Problems", Technometrics 12, 55-67.
    • (1970) Technometrics , vol.12 , pp. 55-67
    • Hoerl, A.E.1    Kennard, R.2
  • 13


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.