特征选择算法研究综述

[1] Accelerated Recursive Feature Elimination Based on Support Vector Machine for Key Variable Identification[J]. 毛勇,皮道映,刘育明,孙优贤.Chinese Journal of Chemical Engineering. 2006(01)

[2] Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algorithm[J]. 毛勇,周晓波,皮道映,孙优贤,WONG Stephen T.C..Journal of Zhejiang University Science. 2005(10)

[3] 智能优化算法及其应用[M]. 清华大学出版社 , 王凌著, 2001

[4] 模式识别[M]. 清华大学出版社 , 边肇祺等编著, 2000

[5] Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data[J] . Engineering Applications of Artificial Intelligence . 2004 (4)

[6] Filter versus wrapper gene selection approaches in DNA microarray domains [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2004, 31 (02) : 91 - 103

[7] Object detection using feature subset selection [J]. PATTERN RECOGNITION, 2004, 37 (11) : 2165 - 2176

[8] Improved support vector classification using PCA and ICA feature space modification [J]. PATTERN RECOGNITION, 2004, 37 (06) : 1117 - 1129

[9] SVM-based feature selection of latent semantic features [J]. PATTERN RECOGNITION LETTERS, 2004, 25 (09) : 1051 - 1057

[10] Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines [J]. FEBS LETTERS, 2003, 555 (02) : 358 - 362

[1] Accelerated Recursive Feature Elimination Based on Support Vector Machine for Key Variable Identification[J]. 毛勇,皮道映,刘育明,孙优贤.Chinese Journal of Chemical Engineering. 2006(01)

[2] Parameters selection in gene selection using Gaussian kernel support vector machines by genetic algorithm[J]. 毛勇,周晓波,皮道映,孙优贤,WONG Stephen T.C..Journal of Zhejiang University Science. 2005(10)

[3] 智能优化算法及其应用[M]. 清华大学出版社 , 王凌著, 2001

[4] 模式识别[M]. 清华大学出版社 , 边肇祺等编著, 2000

[5] Using SVD and SVM methods for selection, classification, clustering and modeling of DNA microarray data[J] . Engineering Applications of Artificial Intelligence . 2004 (4)

[6] Filter versus wrapper gene selection approaches in DNA microarray domains [J]. ARTIFICIAL INTELLIGENCE IN MEDICINE, 2004, 31 (02) : 91 - 103

[7] Object detection using feature subset selection [J]. PATTERN RECOGNITION, 2004, 37 (11) : 2165 - 2176

[8] Improved support vector classification using PCA and ICA feature space modification [J]. PATTERN RECOGNITION, 2004, 37 (06) : 1117 - 1129

[9] SVM-based feature selection of latent semantic features [J]. PATTERN RECOGNITION LETTERS, 2004, 25 (09) : 1051 - 1057

[10] Molecular classification of cancer types from microarray data using the combination of genetic algorithms and support vector machines [J]. FEBS LETTERS, 2003, 555 (02) : 358 - 362