期刊文献+

Huberized Multiclass Support Vector Machine for Microarray Classification 被引量:7

Huberized Multiclass Support Vector Machine for Microarray Classification
下载PDF
导出
出处 《自动化学报》 EI CSCD 北大核心 2010年第3期399-405,共7页 Acta Automatica Sinica
基金 Supported by National Basic Research Program of China (973 Program) (2005CB321902) National Natural Science Foundation of China (90916024,60727002,60774003) the Ph.D. Programs Foundation of Ministry of Education of China (20030006003) the Commission on Science,Technology,and Industry for National Defense (A2120061303)
关键词 基因 支持向量机 计算方法 路径系数 Gene selection, grouping effect, microarray classification, solution path, support vector machine (SVM)
  • 相关文献

参考文献17

  • 1Dudoit S, Fridlyand J, Speed T P. Comparison of discrimination methods for the classification of tumors using gene expression data. Journal of the American Statistical Association, 2002, 97(457): 77-87.
  • 2Golub T R, Slonim D K, Tamayo P, Huard C, Gaasenbeek M, Mesirov J P. Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science, 1999, 286(5439): 531-537.
  • 3Guyon I, Weston J, Barnhill S, Vapnik V. Gene selection for cancer classification using support vector machines. Machine Learning, 2002, 46(1-3): 389-422.
  • 4Wang L, Zhu J, Zou H. Hybrid huberized support vector machines for microarray classification and gene selection. Bioinformatics, 2008, 24(3): 412-419.
  • 5Wang L, Zhu J, Zou H. The doubly regularized support vector machine. Statistics Sinica, 2006, 16(2): 589-615.
  • 6Zhu J, Rosset S, Hastie T, Tibshirani R. 1-norm support vector machines. Advances in Neural Information Processing Systems. New York: MIT Press, 2004. 49-56.
  • 7Lee Y, Cui Z. Characterizing the solution path of multicategory support vector machines. Statistica Sinica, 2006, 16(2): 391-409.
  • 8Lee Y, Lin Y, Wahba G. Multicategory support vector machines: theory, and application to the classification of microarray data and satellite radiance data. Journal of the American Statistical Association, 2004, 99(465): 67-81.
  • 9Wang L F, Shen X T. On l1-norm multi-class support vector machines: methodology and theory. Journal of the American Statistical Association, 2007, 102(478): 583-594.
  • 10Zhang H H, Liu Y, Wu Y, Zhu J. Variable selection for the multicategory SVM via adaptive sup-norm regularization. Electronic Journal of Statistics, 2008, 2(1): 149-167.

同被引文献92

引证文献7

二级引证文献70

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部