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Volumn 4062 LNAI, Issue , 2006, Pages 799-806

Gene selection using Gaussian kernel support vector machine based recursive feature elimination with adaptive kernel width strategy

Author keywords

Feature selection; Machine learning; Recursive feature elimination; Support vector machine

Indexed keywords

ADAPTIVE CONTROL SYSTEMS; CLASSIFICATION (OF INFORMATION); DATABASE SYSTEMS; FEATURE EXTRACTION; GENES; GENETIC ALGORITHMS; TUMORS;

EID: 33746707499     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11795131_116     Document Type: Conference Paper
Times cited : (8)

References (10)
  • 1
    • 0036161259 scopus 로고    scopus 로고
    • Gene selection for cancer classification using support vector machines
    • Guyon, I., Weston, J., Barnhill, S., Vapnik, V: Gene selection for cancer classification using support vector machines. Machine Learning. 46 (2002) 389-422.
    • (2002) Machine Learning , vol.46 , pp. 389-422
    • Guyon, I.1    Weston, J.2    Barnhill, S.3    Vapnik, V.4
  • 3
    • 27944509227 scopus 로고    scopus 로고
    • Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algorithm
    • Mao, Y., Zhou, X., Pi, D., Wong, S., Sun, Y.: Parameters selection in gene selection using Gaussian Kernel support vector machines by genetic algorithm. Journal of Zhejiang University Science. 10 (2005) 961-973.
    • (2005) Journal of Zhejiang University Science , vol.10 , pp. 961-973
    • Mao, Y.1    Zhou, X.2    Pi, D.3    Wong, S.4    Sun, Y.5
  • 5
    • 77952749766 scopus 로고    scopus 로고
    • Performance analysis of support vector machines with Gaussian kernel
    • Zhang, X., Liu. Y.: Performance Analysis of Support Vector Machines with Gaussian Kernel. Journal of Computer Engineering in China. 8 (2003) 22-25.
    • (2003) Journal of Computer Engineering in China , vol.8 , pp. 22-25
    • Zhang, X.1    Liu, Y.2
  • 9
    • 0036489046 scopus 로고    scopus 로고
    • Comparison of discrimination methods for the classification of tumors using gene expression data
    • Dudoit, S., Fridlyand, J., Speed, T.: Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association 97 (2002) 77-87.
    • (2002) Journal of the American Statistical Association , vol.97 , pp. 77-87
    • Dudoit, S.1    Fridlyand, J.2    Speed, T.3
  • 10
    • 1542637078 scopus 로고    scopus 로고
    • A Bayesian approach to nonlinear probit gene selection and classification
    • Zhou, X., Wang, X., Dougherty, E.: A Bayesian approach to nonlinear probit gene selection and classification. Journal of Franklin Institute. 341 (2004) 137-156.
    • (2004) Journal of Franklin Institute , vol.341 , pp. 137-156
    • Zhou, X.1    Wang, X.2    Dougherty, E.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.