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Volumn 3040, Issue , 2004, Pages 517-525

Scatter search for the feature selection problem

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; TECHNOLOGY TRANSFER; HEURISTIC METHODS; PROBLEM SOLVING; SET THEORY;

EID: 7444257517     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (11)

References (15)
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  • 3
    • 0039794215 scopus 로고
    • Explorations of an incremental, bayesian algorithm for categorization
    • J. R. Anderson and M Matessa. Explorations of an incremental, bayesian algorithm for categorization. Machine Learning, 9(275–308), 1992.
    • (1992) Machine Learning , vol.9 , pp. 275-308
    • Anderson, J.R.1    Matessa, M.2
  • 4
    • 0000751098 scopus 로고    scopus 로고
    • Using learning to facilitate the evolution of features for recognizing visual concepts
    • J. Bala, K. Dejong, J. Huang, H. Vafaie, and H. Wechsler. Using learning to facilitate the evolution of features for recognizing visual concepts. Evolutionary Computation, 4(3):297–311, 1996.
    • (1996) Evolutionary Computation , vol.4 , Issue.3 , pp. 297-311
    • Bala, J.1    Dejong, K.2    Huang, J.3    Vafaie, H.4    Wechsler, H.5
  • 5
    • 0000259511 scopus 로고    scopus 로고
    • Approximate statistical test for comparing supervised classification learning algorithms
    • Thomas G. Dietterich. Approximate statistical test for comparing supervised classification learning algorithms. Neural Computation, 10(7):1895–1923, 1998.
    • (1998) Neural Computation , vol.10 , Issue.7 , pp. 1895-1923
    • Dietterich, T.G.1
  • 6
    • 0031381525 scopus 로고    scopus 로고
    • Wrappers for feature subset selection
    • Ron Kohavi and George H. John. Wrappers for feature subset selection. Artificial Intelligence, 97(1-2):273–324, 1997.
    • (1997) Artificial Intelligence , vol.97 , Issue.1 , pp. 273-324
    • Kohavi, R.1    John, G.H.2
  • 10
    • 0003408496 scopus 로고
    • Technical report, University of California, Department of Information and Computer Science
    • P. M. Murphy and D.W. Aha. Uci repository of machine learning. Technical report, University of California, Department of Information and Computer Science, 1994.
    • (1994) Uci Repository of Machine Learning
    • Murphy, P.M.1    Aha, D.W.2
  • 12
    • 0012587086 scopus 로고    scopus 로고
    • Greedy Randomized Adaptive Search Procedures
    • F. Glover and G. G. Kochenberger (eds.). Kluwer Academic Publishers
    • M. G.C. Resende and C. C. Ribeiro. Greedy Randomized Adaptive Search Procedures. Handbook of Metaheuristics, F. Glover and G. G. Kochenberger (eds.). Kluwer Academic Publishers, 2003.
    • (2003) Handbook of Metaheuristics
    • Resende, M.1    Ribeiro, C.C.2
  • 14
    • 0035576458 scopus 로고    scopus 로고
    • An Experimental Evaluation of a Scatter Search for the Linear Ordering Problem
    • V. Campos and F. Glover and M. Laguna and R. Martí. An Experimental Evaluation of a Scatter Search for the Linear Ordering Problem. Journal of Global Optimization, 21:397–414, 2001.
    • (2001) Journal of Global Optimization , vol.21 , pp. 397-414
    • Campos, V.1    Glover, F.2    Laguna, M.3    Martí, R.4


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.