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Volumn 14, Issue 2, 2007, Pages 161-171

A genetic feature weighting scheme for pattern recognition

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINED OPTIMIZATION; DATABASE SYSTEMS; GENETIC ALGORITHMS; LEARNING SYSTEMS;

EID: 34547558060     PISSN: 10692509     EISSN: None     Source Type: Journal    
DOI: 10.3233/ica-2007-14204     Document Type: Article
Times cited : (33)

References (20)
  • 6
    • 27844458593 scopus 로고    scopus 로고
    • Efficient huge-scale feature selection with speciated genetic algorithm
    • J. Hong and S. Cho, Efficient huge-scale feature selection with speciated genetic algorithm, Pattern Recognition Letters 27 (2006), 143-150.
    • (2006) Pattern Recognition Letters , vol.27 , pp. 143-150
    • Hong, J.1    Cho, S.2
  • 8
  • 9
    • 0001577032 scopus 로고
    • Hybridizing the genetic algorithm and the k nearest neighbors classification algorithm
    • J. Kelly and L. Davis, Hybridizing the genetic algorithm and the k nearest neighbors classification algorithm, in Proc. 4th Int. Conf. Genetic Algorithms, 1991, 377-383.
    • (1991) Proc. 4th Int. Conf. Genetic Algorithms , pp. 377-383
    • Kelly, J.1    Davis, L.2
  • 11
    • 0030173622 scopus 로고    scopus 로고
    • Off-Line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network
    • S. Lee, Off-Line recognition of totally unconstrained handwritten numerals using multilayer cluster neural network, IEEE Trans Pattern Analysis and Machine Intelligence 18 (1996), 648-652.
    • (1996) IEEE Trans Pattern Analysis and Machine Intelligence , vol.18 , pp. 648-652
    • Lee, S.1
  • 13
    • 0003408496 scopus 로고
    • UCI Repository for Machine Learning Database
    • Dept. of Information and Computer Science, Univ. of California, Irvine, Calif
    • P.M. Murphy and D.W. Aha, UCI Repository for Machine Learning Database, technical report, Dept. of Information and Computer Science, Univ. of California, Irvine, Calif., 1994.
    • (1994) technical report
    • Murphy, P.M.1    Aha, D.W.2
  • 15
    • 0142086622 scopus 로고    scopus 로고
    • A methodology for feature selection using multiobjective genetic algorithms for handwritten digit string recognition
    • L. Oliveira and R. Sabourin, A methodology for feature selection using multiobjective genetic algorithms for handwritten digit string recognition, Int Journal, of Pattern Recognition and Artificial Intelligence 17(5) (2003), 903-929.
    • (2003) Int Journal, of Pattern Recognition and Artificial Intelligence , vol.17 , Issue.5 , pp. 903-929
    • Oliveira, L.1    Sabourin, R.2
  • 16
    • 0031612385 scopus 로고    scopus 로고
    • Evaluating Feature Selection Methods for Learning in Data Mining Applications
    • S. Piramuthu, Evaluating Feature Selection Methods for Learning in Data Mining Applications, Proc. 31st Ann. Hawaii int'l Conf. System Science, 1998, 294-301.
    • (1998) Proc. 31st Ann. Hawaii int'l Conf. System Science , pp. 294-301
    • Piramuthu, S.1
  • 19
    • 0024895461 scopus 로고
    • A note on genetic algorithms for large-scale feature selection
    • W. Siedlecki and J. Sklansky, A note on genetic algorithms for large-scale feature selection, Pattern Recognition Letters 10 (1989), 335-347.
    • (1989) Pattern Recognition Letters , vol.10 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.