[1] YANG F, MAO K. Robust feature selection for microarray data based on multicriterion fusion[J]. IEEE-ACM Transactions on Computational Biology and Bioinformatics, 2011, 8(4):1080-1092. [2] XIE J, XIE W. Several feature selection algorithms based on the discernibility of a feature subset and support vector machines[J]. Chinese Journal of Computers, 2014, 37(8):1704-1718.(谢娟英, 谢维信. 基于特征子集区分度与支持向量机的特征选择算法[J]. 计算机学报, 2014, 37(8):1704-1718.) [3] WESTON J, MUKHERJEE S, CHAPELLE O, et al. Feature selection for SVMs[EB/OL].[2014-10-10]. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.470.3628&rep=rep1&type=pdf. [4] GUYON I, WESTON J, BARNHILL S, et al. Gene selection for cancer classification using support vector machines[J]. Machine Learning, 2002, 46(1/2/3): 389-422. [5] WANG J, SHAN G, ZHANG Q, et al. Research on feature selection method based on improved SVM-RFE[J]. Microcomputer Applications, 2011, 32(2): 70-74.(王俭臣,单甘霖,张岐龙,等. 基于改进SVM-RFE的特征选择方法研究[J]. 微计算机应用, 2011, 32(2): 70-74.) [6] LI J, JIA Y, LI W. Adaptive huberized support vector machine and its application to microarray classification[J]. Neural Computing and Applications, 2011, 20(1): 123-132. [7] LEE C, LEU Y. A novel hybrid feature selection method for microarray data analysis[J]. Applied Soft Computing, 2011, 11(1): 208-213. [8] ZHOU X, TUCK D P. MSVM-RFE: Extensions of SVM-RFE for multiclass gene selection on DNA microarray data[J]. Bioinformatics, 2007, 23(9): 1106-1114. [9] SHIEH M D, YANG C. Multiclass SVM-RFE for product form feature selection[J]. Expert Systems with Applications,2008,35(1): 531-541 [10] VAPNIK V. Statistical learning theory[J]. New York: John Wiley & Sons, 1998. [11] DUAN K B, RAJAPAKSE J C, WANG H, et al. Multiple SVM-RFE for gene selection in cancer classification with expression data[J]. IEEE Transactions on NanoBioscience, 2005, 4(3): 228-234. [12] POMEROY S L, TAMAYO P, GAASENBEEK M, et al. Gene expression-based classification and outcome prediction of central nervous system embryonal tumors[J]. Nature, 2002, 415(24): 436-442. [13] GOLUB T R, SLONIM D K, TAMAYO P, et al. Molecular classification of cancer: class discovery and class prediction by gene expression[J]. Science, 1999, 286(5439): 531-537. [14] BHATTACHARJEE A, RICHARDS W G, STAUNTON J, et al. Classification of human lung carcinomas by mRNA expression profiling reveals distinct adenocarcinomas sub-classes[J]. Proceedings of the National Academy of Sciences, 2001, 98(24): 13790-13795. [15] MONTI S F, AYO P T, MESIROV J, et al. Consensus clustering: a resampling-based method for class discovery and visualization of gene expression microarray data[J]. Machine Learning, 2003, 52(1/2): 91-118. |