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Volumn 12, Issue 5, 2009, Pages 507-513

Feature selection and classification employing hybrid ant colony optimization/random forest methodology

Author keywords

[No Author keywords available]

Indexed keywords

ACCURACY; ALGORITHM; ANT COLONY OPTIMIZATION; BOOTSTRAPPING; DECISION TREE; METHODOLOGY; PRIORITY JOURNAL; RANDOM FOREST; REVIEW; SENSITIVITY AND SPECIFICITY;

EID: 66849115454     PISSN: 13862073     EISSN: None     Source Type: Journal    
DOI: 10.2174/138620709788488993     Document Type: Review
Times cited : (18)

References (37)
  • 4
    • 3543101912 scopus 로고    scopus 로고
    • Department of Statistics Seminar: North Carolina State University, Extracted on Sep 10
    • Liaw, A. Random Forest and Its Application to QSAR Modeling of HTS Data; Department of Statistics Seminar: North Carolina State University, http:www.stat.ncsu.edu/seminar/aliaw.html, [Extracted on Sep 10, 2003].
    • (2003) Random Forest and Its Application to QSAR Modeling of HTS Data
    • Liaw, A.1
  • 6
    • 66849132923 scopus 로고
    • University of California at Davis
    • Doak, J. CSE Technical Report; University of California at Davis, 1992, pp. 92-118
    • (1992) CSE Technical Report , pp. 92-118
    • Doak, J.1
  • 17
    • 66849122420 scopus 로고    scopus 로고
    • Breiman, L.; Cutler http://www.stat.berkeley.edu/users/breiman/ RandomForests/ 2004.
    • (2004) Cutler
    • Breiman, L.1
  • 20
    • 20444392475 scopus 로고    scopus 로고
    • Dept. of statistics, University of Berkeley: California
    • Chen, C. Technical Report; Dept. of statistics, University of Berkeley: California, 2004.
    • (2004) Technical Report
    • Chen, C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.