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Volumn 18, Issue , 2013, Pages 2337-2346

A guided hybrid genetic algorithm for feature selection with expensive cost functions

Author keywords

Cost function; Diversity; Feature selection; Genetic algorithm; Niching; Random forests

Indexed keywords


EID: 84896922870     PISSN: 18770509     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1016/j.procs.2013.05.405     Document Type: Conference Paper
Times cited : (35)

References (12)
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  • 7
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    • Corne, D.1    Knowles, J.2    Oates, M.3
  • 8
    • 0000852513 scopus 로고
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    • Srinivas, N.1    Deb, K.2
  • 9
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    • Miller, B.L.1    Miller, B.L.2    Goldberg, D.E.3    Goldberg, D.E.4
  • 10
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    • Emmanouilidis, C.1    Hunter, A.2    Macintyre, J.3
  • 11
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    • Random forests
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  • 12
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    • Estimating basal area of spruce and fir in post-fire residual stands in central Siberia using quickbird, feature selection, and random forests
    • M. Jung, S. Tautenhahn, C. Wirth, J. Kattge, Estimating basal area of spruce and fir in post-fire residual stands in central siberia using quickbird, feature selection, and random forests, in: Procedia Computer Science, 2013, pp. xxx-xxx.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.