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Volumn 4491 LNCS, Issue PART 1, 2007, Pages 1327-1335

Memetic algorithms for feature selection on microarray data

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; DATABASE SYSTEMS; FEATURE EXTRACTION; MICROARRAYS;

EID: 37249039472     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-72383-7_155     Document Type: Conference Paper
Times cited : (16)

References (18)
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  • 2
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  • 3
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    • Extensive Testing of a Hybrid Genetic Algorithm for Solving Quadratic Assignment Problems
    • Lim, M.H., Yu, Y., Omatu, S.: Extensive Testing of a Hybrid Genetic Algorithm for Solving Quadratic Assignment Problems. Computational Optimization and Applications 23 (2002) 47-64
    • (2002) Computational Optimization and Applications , vol.23 , pp. 47-64
    • Lim, M.H.1    Yu, Y.2    Omatu, S.3
  • 4
    • 33747440759 scopus 로고    scopus 로고
    • Max-min Surrogate-assisted Evolutionary Algorithm for Robust Aerodynamic Design
    • Ong, Y.S., Nair, P.B., Lum, K.Y.: Max-min Surrogate-assisted Evolutionary Algorithm for Robust Aerodynamic Design. IEEE Trans. on Evolutionary Computation 10(4) (2006) 392-404
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    • Ong, Y.S.1    Nair, P.B.2    Lum, K.Y.3
  • 5
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    • A Survey of Methods for Classification of Gene Expression Data Using Evolutionary Algorithms
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    • Wahde, M.1    Szallasi, Z.2
  • 9
    • 37249013308 scopus 로고    scopus 로고
    • Markov Blanket-embedded Genetic Algorithm for Gene Selection
    • submitted
    • Zhu, Z., Ong, Y.S., Dash, M.: Markov Blanket-embedded Genetic Algorithm for Gene Selection. Pattern Recognition, submitted 2006.
    • (2006) Pattern Recognition
    • Zhu, Z.1    Ong, Y.S.2    Dash, M.3
  • 11
    • 0141990695 scopus 로고    scopus 로고
    • Theoretical and Empirical Analysis of ReliefF and RReliefF
    • Robnic-Sikonja, M., Kononenko, I.: Theoretical and Empirical Analysis of ReliefF and RReliefF. Machine Learning 53(1-2) (2003) 23-69
    • (2003) Machine Learning , vol.53 , Issue.1-2 , pp. 23-69
    • Robnic-Sikonja, M.1    Kononenko, I.2
  • 14
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    • Efficient Feature Selection via Analysis of Relevance and Redundancy
    • Yu, L., Liu, H.: Efficient Feature Selection via Analysis of Relevance and Redundancy. Journal of Machine Learning Research 5 (2004) 1205-1224
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  • 15
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    • Is Cross-validation Valid for Small-sample Microarray Classification
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    • Braga-Neto, U.M.1    Dougherty, E.R.2
  • 16
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    • Data Set Repository
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.