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Volumn 3177, Issue , 2004, Pages 11-16

A novel hybrid GA/SVM system for protein sequences classification

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EID: 26944485673     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-28651-6_2     Document Type: Article
Times cited : (25)

References (10)
  • 3
    • 0028181441 scopus 로고
    • Hidden Markov Models in Computational Biology: Applications to Protein Modeling
    • February
    • A. Krogh, M. Brown, I. S. Mian, K. Sjölander, and D.Haussler, "Hidden Markov Models in Computational Biology: Applications to Protein Modeling", Journal of Molecular Biology, vol.235, pp1501-1531, February 1994.
    • (1994) Journal of Molecular Biology , vol.235 , pp. 1501-1531
    • Krogh, A.1    Brown, M.2    Mian, I.S.3    Sjölander, K.4    Haussler, D.5
  • 4
  • 5
    • 0029387830 scopus 로고
    • Neural networks for full-scale protein sequence classification: Sequence encoding with singular value decomposition
    • C. H. Wu, Y. S. Fung, and J. McLarty, "Neural networks for full-scale protein sequence classification: Sequence encoding with singular value decomposition", Machine Learning, vol. 21, pp177-193, 1995.
    • (1995) Machine Learning , vol.21 , pp. 177-193
    • Wu, C.H.1    Fung, Y.S.2    McLarty, J.3
  • 8
    • 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, vol. 10, pp.335-347, 1989.
    • (1989) Pattern Recognition Letters , vol.10 , pp. 335-347
    • Siedlecki, W.1    Sklansky, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.