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Volumn 14, Issue 2, 1999, Pages 277-292

Regularization in skewed binary classification

Author keywords

ROC curve

Indexed keywords


EID: 0033424579     PISSN: 09434062     EISSN: None     Source Type: Journal    
DOI: 10.1007/s001800050018     Document Type: Article
Times cited : (16)

References (11)
  • 1
    • 0001740650 scopus 로고
    • Training with noise is equivalent to Tikohonov regularization
    • Bishop, C. (1995). Training with noise is equivalent to Tikohonov regularization. Neural Computation, 7, pp.108-116.
    • (1995) Neural Computation , vol.7 , pp. 108-116
    • Bishop, C.1
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). Bagging predictors. Machine Learning, 26, No. 2, pp.123-140.
    • (1996) Machine Learning , vol.26 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristics (ROC) curve
    • Hanley, J.A. and McNeil, B.J. (1982). The meaning and use of the area under a receiver operating characteristics (ROC) curve. Radiology, 143, pp.29-36.
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 10
    • 0026017007 scopus 로고
    • Creating artificial networks that generalize
    • Sietsma, J. and Dow, R.J.F. (1991). Creating artificial networks that generalize. Neural Networks, 4, pp.67-79.
    • (1991) Neural Networks , vol.4 , pp. 67-79
    • Sietsma, J.1    Dow, R.J.F.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.