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Volumn 2, Issue , 2006, Pages 679-682

An ensemble classifier learning approach to ROC optimization

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION ALGORITHMS; DATABASE SYSTEMS; FUNCTION EVALUATION; LEARNING SYSTEMS; OPTIMIZATION;

EID: 34047220859     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICPR.2006.246     Document Type: Conference Paper
Times cited : (22)

References (14)
  • 1
    • 33749254183 scopus 로고    scopus 로고
    • On the path to an ideal ROC curve: Considering cost asymmetry in learning classifiers
    • Bach, F. R., et al, "On the path to an ideal ROC curve: considering cost asymmetry in learning classifiers", Proc. of Artificial Intelligence and Statistics, 2005.
    • Proc. of Artificial Intelligence and Statistics, 2005
    • Bach, F.R.1
  • 3
    • 0031191630 scopus 로고    scopus 로고
    • The use of the area under the ROC curve in the evaluation of machine learning algorithms
    • Bradley, A.P., "The use of the area under the ROC curve in the evaluation of machine learning algorithms", Pattern Recognition, 30, pp. 1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , pp. 1145-1159
    • Bradley, A.P.1
  • 4
    • 84897965802 scopus 로고    scopus 로고
    • AUC optimization vs. error rate minimization
    • Cortes, C. & Mohri, M., "AUC optimization vs. error rate minimization", NIPS'03.
    • NIPS'03
    • Cortes, C.1    Mohri, M.2
  • 5
    • 34047197352 scopus 로고    scopus 로고
    • Explicitly representing expected cost: An alternative to ROC representation
    • Drummond, C. & Holte, R.C., "Explicitly representing expected cost: an alternative to ROC representation", KDD'00.
    • KDD'00
    • Drummond, C.1    Holte, R.C.2
  • 6
    • 34047241972 scopus 로고    scopus 로고
    • Learning decision trees using the area under the ROC curve
    • Ferri, C., Flach, P. & Hernandez, J., "Learning decision trees using the area under the ROC curve", ICML '02.
    • ICML '02
    • Ferri, C.1    Flach, P.2    Hernandez, J.3
  • 7
    • 1942421135 scopus 로고    scopus 로고
    • The geometry of ROC space: Understanding machine learning metrics through ROC isometrics
    • Flach, P. A., "The geometry of ROC space: understanding machine learning metrics through ROC isometrics", ICML'03.
    • ICML'03
    • Flach, P.A.1
  • 8
    • 34047207610 scopus 로고    scopus 로고
    • A maximal figure-of-merit approach to text categorization
    • Gao, S., et al, "A maximal figure-of-merit approach to text categorization", SIGIR'03.
    • SIGIR'03
    • Gao, S.1
  • 9
    • 33745875075 scopus 로고    scopus 로고
    • A MFoM learning approach to robust multiclass multi-label text categorization
    • Gao, S., et al, "A MFoM learning approach to robust multiclass multi-label text categorization", ICML '04.
    • ICML '04
    • Gao, S.1
  • 10
    • 14344264748 scopus 로고    scopus 로고
    • Optimising area under the ROC curve using gradient descent
    • Herschtal, A. & Raskutti, B., "Optimising area under the ROC curve using gradient descent", ICML '04.
    • ICML '04
    • Herschtal, A.1    Raskutti, B.2
  • 12
    • 0033738539 scopus 로고    scopus 로고
    • The NIST speaker recognition evaluation -overview, methodology, systems, results, perspectives
    • Martin, A., et al, "The NIST speaker recognition evaluation -overview, methodology, systems, results, perspectives", Speech Communications, vol. 31, pp.225-254, 2000.
    • (2000) Speech Communications , vol.31 , pp. 225-254
    • Martin, A.1
  • 14
    • 1942451946 scopus 로고    scopus 로고
    • Optimizing classifier performance via an approximation to the Wilcoxon-Mann-Whitney statistic
    • Yan, L., et al, "Optimizing classifier performance via an approximation to the Wilcoxon-Mann-Whitney statistic", ICML'03.
    • ICML'03
    • Yan, L.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.