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Article Navigation> JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY> 2011> 20(3): 399-402
ZHAO San-yuan, SHEN Ting-zhi, SUN Chen-sheng, LIU Peng-zhang, YUE Lei. Feature subset selection method for AdaBoost training[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(3): 399-402.
Citation: ZHAO San-yuan, SHEN Ting-zhi, SUN Chen-sheng, LIU Peng-zhang, YUE Lei. Feature subset selection method for AdaBoost training[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2011, 20(3): 399-402.
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Feature subset selection method for AdaBoost training

  • School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China

  • Received Date:2010-12-30
    Abstract
  • The feature-selection problem in training AdaBoost classifiers is addressed in this paper. A working feature subset is generated by adopting a novel feature subset selection method based on the partial least square (PLS) regression, and then trained and selected from this feature subset in Boosting. The experiments show that the proposed PLS-based feature-selection method outperforms the current feature ranking method and the random sampling method.
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