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Volumn , Issue , 2009, Pages 551-556

Cost-sensitive classification based on Bregman divergences for medical diagnosis

Author keywords

[No Author keywords available]

Indexed keywords

BREGMAN DIVERGENCES; COST-SENSITIVE CLASSIFICATION; DECISION BOUNDARY; DESIGN COSTS; DIVERGENCE MEASURES; MEDICAL DATA SETS; MEDICAL DIAGNOSIS; POSTERIOR PROBABILITY;

EID: 77950833846     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICMLA.2009.82     Document Type: Conference Paper
Times cited : (18)

References (14)
  • 5
    • 49949144765 scopus 로고
    • The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming
    • L. Bregman. The relaxation method of finding the common points of convex sets and its application to the solution of problems in convex programming. USSR Computational Mathematics and Mathematical Physics, 7(10):200-217, 1967.
    • (1967) USSR Computational Mathematics and Mathematical Physics , vol.7 , Issue.10 , pp. 200-217
    • Bregman, L.1
  • 7
    • 0034922742 scopus 로고    scopus 로고
    • Machine learning for medical diagnosis: History, state of the art and perspective
    • DOI 10.1016/S0933-3657(01)00077-X, PII S093336570100077X
    • I. Kononenko. Machine learning for medical diagnosis: history, state of the art and perspective. Artificial Intelligence in Medicine, 23(1):89-109, 2001. (Pubitemid 32677979)
    • (2001) Artificial Intelligence in Medicine , vol.23 , Issue.1 , pp. 89-109
    • Kononenko, I.1
  • 9
    • 31344442851 scopus 로고    scopus 로고
    • Training cost-sensitive neural networks with methods addressing the class imbalance problem
    • X. Liu and Z. Zhou. Training cost-sensitive neural networks with methods addressing the class imbalance problem. IEEE Trans. on Knowl. and Data Eng., 18(1):63-77, 2006.
    • (2006) IEEE Trans. on Knowl. and Data Eng. , vol.18 , Issue.1 , pp. 63-77
    • Liu, X.1    Zhou, Z.2
  • 13
    • 33749245586 scopus 로고    scopus 로고
    • Cost-sensitive learning by cost-proportionate example weighting
    • Washington, DC, USA, IEEE Computer Society
    • B. Zadrozny, J. Langford, and N. Abe. Cost-sensitive learning by cost-proportionate example weighting. In ICDM '03: Proc. of the 3rd IEEE Int. Conf. on Data Mining, page 435, Washington, DC, USA, 2003. IEEE Computer Society.
    • (2003) ICDM '03: Proc. of the 3rd IEEE Int. Conf. on Data Mining , pp. 435
    • Zadrozny, B.1    Langford, J.2    Abe, N.3
  • 14
    • 0036146402 scopus 로고    scopus 로고
    • Lung cancer cell identification based on artificial neural network ensembles
    • Z.-H. Zhou, Y. Jiang, Y.-B. Yang, and S.-F. Chen. Lung cancer cell identification based on artificial neural network ensembles. Artificial Intelligence in Medicine, 24(1):25-36, 2002.
    • (2002) Artificial Intelligence in Medicine , vol.24 , Issue.1 , pp. 25-36
    • Zhou, Z.-H.1    Jiang, Y.2    Yang, Y.-B.3    Chen, S.-F.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.