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Volumn , Issue , 2008, Pages

Feature condensing algorithm for feature selection

Author keywords

[No Author keywords available]

Indexed keywords

CORRELATION COEFFICIENT; DISTANCE MEASURE; FEATURE SELECTION; FEATURE SELECTION METHODS; FILTER-BASED; PRE-FILTERING; REAL WORLD DATA; SELECTION TECHNIQUES;

EID: 77957943562     PISSN: 10514651     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (7)
  • 2
    • 0037262841 scopus 로고    scopus 로고
    • Being Bayesian about network structure
    • N. Friedman and D. Koller. Being Bayesian about Network Structure, Machine Learning, 50:95-125, 2003.
    • (2003) Machine Learning , vol.50 , pp. 95-125
    • Friedman, N.1    Koller, D.2
  • 4
    • 0029344326 scopus 로고
    • Shapes, shocks, and deformations I: The components of shape and the reaction-diffusion space
    • B. B. Kimia, A. R. Tannenbaum, and S. W. Zucker. Shapes, shocks, and deformations I: the components of shape and the reaction-diffusion space. Int. J. Computer Vision, vol. 15, no. 3, pp. 189-224, 1995.
    • (1995) Int. J. Computer Vision , vol.15 , Issue.3 , pp. 189-224
    • Kimia, B.B.1    Tannenbaum, A.R.2    Zucker, S.W.3
  • 7
    • 33847323262 scopus 로고    scopus 로고
    • Statistical and inductive inference by minimum message length
    • Springer Verlag, ISBN 0-387-23795-X
    • C. S. Wallace. Statistical and Inductive Inference by Minimum Message Length. Information Science and Statistics. Springer Verlag, ISBN 0-387-23795-X, 2005.
    • (2005) Information Science and Statistics
    • Wallace, C.S.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.