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Volumn , Issue , 2005, Pages 8-15

Stability of feature selection algorithms

Author keywords

[No Author keywords available]

Indexed keywords

LEARNING ALGORITHMS; PROTEINS; STABILITY;

EID: 34548590838     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.135     Document Type: Conference Paper
Times cited : (97)

References (12)
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    • U. Fayyad and K. Irani. Multi-interval discretization of continuous attributes as preprocessing for classification learning. In R. Bajcsy, editor, Proceedings of the 13th International Joint Conference on Artificial Intelligence, pages 1022-1027. Morgan Kaufmann, 1993.
    • (1993) Proceedings of the 13th International Joint Conference on Artificial Intelligence , pp. 1022-1027
    • Fayyad, U.1    Irani, K.2
  • 5
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • I. Guyon, J. Weston, S. Barnhill, and V. Vapnik. Gene selection for cancer classification using support vector machines. Machine Learning, 46(1-3):389-422, 2002.
    • (2002) Machine Learning , vol.46 , Issue.1-3 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 6
    • 34548558493 scopus 로고    scopus 로고
    • A. Kalousis, J. Prados, E. Rexhepaj, and M. Hilario. Feature extraction from mass spectra for classification. 2005. Submitted to 6th European Conference on Principles and Practice of Knowledge Discovery in Databases.
    • A. Kalousis, J. Prados, E. Rexhepaj, and M. Hilario. Feature extraction from mass spectra for classification. 2005. Submitted to 6th European Conference on Principles and Practice of Knowledge Discovery in Databases.
  • 9
    • 3543058847 scopus 로고    scopus 로고
    • Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents
    • J. Prados, A. Kalousis, J.-C. Sanchez, L. Allard, O. Carrette, and M. Hilario. Mining mass spectra for diagnosis and biomarker discovery of cerebral accidents. Proteomics, 4(8):2320-2332, 2004.
    • (2004) Proteomics , vol.4 , Issue.8 , pp. 2320-2332
    • Prados, J.1    Kalousis, A.2    Sanchez, J.-C.3    Allard, L.4    Carrette, O.5    Hilario, M.6
  • 10
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and empirical analysis of relieff and rrelieff
    • M. Robnik-Sikonja and I. Kononenko. Theoretical and empirical analysis of relieff and rrelieff. Machine Learning, 53(1-2):23-69, 2003.
    • (2003) Machine Learning , vol.53 , Issue.1-2 , pp. 23-69
    • Robnik-Sikonja, M.1    Kononenko, I.2
  • 11
    • 0001860949 scopus 로고
    • Technical note: Bias and the quantification of stability
    • P. Turney. Technical note: Bias and the quantification of stability. Machine Learning, 20:23-33, 1995.
    • (1995) Machine Learning , vol.20 , pp. 23-33
    • Turney, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.