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Volumn 34, Issue 2, 2000, Pages 165-191

Noisy replication in skewed binary classification

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; DATA STRUCTURES; MATHEMATICAL MODELS; PROBABILITY DISTRIBUTIONS; STATISTICAL METHODS; TREES (MATHEMATICS);

EID: 0034726260     PISSN: 01679473     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-9473(99)00095-X     Document Type: Article
Times cited : (74)

References (17)
  • 1
    • 0001740650 scopus 로고
    • Training with noise is equivalent to Tikohonov regularization
    • C. Bishop Training with noise is equivalent to Tikohonov regularization Neural Comput. 7 1995 108 116
    • (1995) Neural Comput. , vol.7 , pp. 108-116
    • Bishop, C.1
  • 2
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman Bagging predictors Mach. Learning 26 2 1996 123 140
    • (1996) Mach. Learning , vol.26 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 3
    • 0346786584 scopus 로고    scopus 로고
    • Arcing classifiers
    • L. Breiman Arcing classifiers Ann. Statist. 26 1998 801 849
    • (1998) Ann. Statist. , vol.26 , pp. 801-849
    • Breiman, L.1
  • 4
    • 85120103102 scopus 로고    scopus 로고
    • Breiman, L., Friedman, J.H., Olshen, R.A., Stone, C.J., 1984. Classification and Regression Trees. Wadsworth & Brooks, Monterey, California.
  • 5
    • 85120124049 scopus 로고    scopus 로고
    • Freund, Y., Schapire, R., 1996. Experiments with a new boosting algorithm. Machine Learning: Proceedings of the 13th International Conference, pp. 148–156.
  • 6
    • 85120121317 scopus 로고    scopus 로고
    • Hand, D.J., 1997. Construction and Assessment of Classification Rules. Wiley, New York.
  • 7
    • 0020083498 scopus 로고
    • The meaning and use of the area under a receiver operating characteristics (ROC) curve
    • J.A. Hanley B.J. McNeil The meaning and use of the area under a receiver operating characteristics (ROC) curve Radiology 143 1982 29 36
    • (1982) Radiology , vol.143 , pp. 29-36
    • Hanley, J.A.1    McNeil, B.J.2
  • 8
    • 0030069896 scopus 로고    scopus 로고
    • Multivariate prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors
    • F.E. Harrell K.L. Lee D.B. Mark Multivariate prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors Statist. Med. 15 1996 361 387
    • (1996) Statist. Med. , vol.15 , pp. 361-387
    • Harrell, F.E.1    Lee, K.L.2    Mark, D.B.3
  • 9
    • 85120144960 scopus 로고    scopus 로고
    • Hertz, J., Krogh, A., Palmer, R.G., 1991. Introduction to the Theory of Neural Computation. Addison-Wesley, Redwood City, CA.
  • 10
    • 85120147166 scopus 로고    scopus 로고
    • Lee, S.S., 1999. Regularization in skewed binary classification. Comput. Statist., to appear.
  • 11
    • 85120138534 scopus 로고    scopus 로고
    • Luger, G.F., Stubblefield, W.A., 1989. Artificial Intelligence and the Design of Expert Systems Benjamin/Cummings, Menlo Park, CA.
  • 13
    • 85120142199 scopus 로고    scopus 로고
    • Quinlan, J.R., 1993. C4.5: Program for Machine Learning. Morgan Kaufmann, San Mateo.
  • 15
    • 85120107238 scopus 로고    scopus 로고
    • Ripley, B.D., 1996. Pattern Recognition and Neural Networks. Cambridge University Press, UK.
  • 16
    • 0026017007 scopus 로고
    • Creating artificial networks that generalize
    • J. Sietsma R.J.F. Dow Creating artificial networks that generalize Neural Networks 4 1991 67 79
    • (1991) Neural Networks , vol.4 , pp. 67-79
    • Sietsma, J.1    Dow, R.J.F.2
  • 17
    • 85120104400 scopus 로고    scopus 로고
    • Venables, W.N., Ripley, B.D., 1994. Modern Applied Statistics with S -plus. Springer, New York.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.