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Volumn , Issue , 2008, Pages 141-146

Optimization of the area under the ROC curve

Author keywords

[No Author keywords available]

Indexed keywords

CURVE FITTING; LEARNING ALGORITHMS;

EID: 58049211597     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SBRN.2008.25     Document Type: Conference Paper
Times cited : (17)

References (19)
  • 1
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    • A. P. Bradley. The use of the area under the roc curve in the evaluation of machine learning algorithms. Pattern Recognition, Vol.30 No.7 pgs. 1145-1159, 1997.
    • (1997) Pattern Recognition , vol.30 , Issue.7 , pp. 1145-1159
    • Bradley, A.P.1
  • 2
    • 84897965802 scopus 로고    scopus 로고
    • C. Cortes and M. Mohri. Auc optimization vs. error rate minimization. In Advances in Neural Information Processing Systems No. 16. pgs. 313-320. Cambridge MA: MIT Press., 2004.
    • C. Cortes and M. Mohri. Auc optimization vs. error rate minimization. In Advances in Neural Information Processing Systems No. 16. pgs. 313-320. Cambridge MA: MIT Press., 2004.
  • 4
    • 0345438685 scopus 로고    scopus 로고
    • Roc graphs: Notes and pratical consideration for researchers
    • Technical report, HP Laboratories
    • T. Fawcett. Roc graphs: notes and pratical consideration for researchers. Technical report, HP Laboratories, 2004.
    • (2004)
    • Fawcett, T.1
  • 10
    • 0036161029 scopus 로고    scopus 로고
    • Support vector machines for classification in nonstandard situations
    • pgs
    • Y. Lin, Y. Lee, and G. Wahba. Support vector machines for classification in nonstandard situations. Machine Learning, 46, pgs. 191-202., 2002.
    • (2002) Machine Learning , vol.46 , pp. 191-202
    • Lin, Y.1    Lee, Y.2    Wahba, G.3
  • 11
    • 0003488911 scopus 로고
    • Addison-Wesley Publishing Company, Stanford, California, 2 edition
    • D. G. Luenberger. Linear and Nonlinear Programming. Addison-Wesley Publishing Company, Stanford, California, 2 edition, 1984.
    • (1984) Linear and Nonlinear Programming
    • Luenberger, D.G.1
  • 12
    • 0002322469 scopus 로고
    • On a test wheter one of two random variables is stochastically larger than the other
    • pgs
    • H. B. Mann and D. R. Whitney. On a test wheter one of two random variables is stochastically larger than the other. Annals of Math. Statistics, 18, pgs. 50-60., 1947.
    • (1947) Annals of Math. Statistics , vol.18 , pp. 50-60
    • Mann, H.B.1    Whitney, D.R.2
  • 14
    • 0003260442 scopus 로고    scopus 로고
    • Combining statistical learning with a knowledge based approach - a case study in intensive care monitoring
    • Bled, Slovenia, pgs
    • K. Morik, P. Brockhausen, and T. Joachims. Combining statistical learning with a knowledge based approach - a case study in intensive care monitoring. In Proceedings of the 16th International Conference on Machine Learning, Bled, Slovenia, pgs. 268-277, 1999.
    • (1999) Proceedings of the 16th International Conference on Machine Learning , pp. 268-277
    • Morik, K.1    Brockhausen, P.2    Joachims, T.3
  • 15
    • 58049193800 scopus 로고    scopus 로고
    • M. C. Mozer, R. Dodier, M. D. Colagrosso, C. Guerra-Salcedo, and R. Wolniewicz. Prodding the roc curve: constrained optimization of classifier performance. In Neural Information Processing Systems 2001, Vancouver, British Columbia, Canada, 2001.
    • M. C. Mozer, R. Dodier, M. D. Colagrosso, C. Guerra-Salcedo, and R. Wolniewicz. Prodding the roc curve: constrained optimization of classifier performance. In Neural Information Processing Systems 2001, Vancouver, British Columbia, Canada, 2001.
  • 17
    • 34249279786 scopus 로고    scopus 로고
    • Svms and area under roc curve
    • Technical report, PSI-INSA de Roun, 2004
    • A. Rakotomamonjy. Svms and area under roc curve. Technical report, PSI-INSA de Roun, 2004.
    • Rakotomamonjy, A.1
  • 18
    • 20444476242 scopus 로고    scopus 로고
    • On pareto optimal fronts for deciding about sensitivity and especificity in class-modelling problems
    • pgs
    • M. S. Sanchez, M. C. Ortiz, L. A. Sarabia, and R. Llet. On pareto optimal fronts for deciding about sensitivity and especificity in class-modelling problems. Analytica Chimica Acta 544 pgs. 236-245, 2005.
    • (2005) Analytica Chimica Acta , vol.544 , pp. 236-245
    • Sanchez, M.S.1    Ortiz, M.C.2    Sarabia, L.A.3    Llet, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.