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Feature subset selection method for AdaBoost training |
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| Authors: | ZHAO San-yuan SHEN Ting-zhi SUN Chen-sheng LIU Peng-zhang YUE Lei |
| Affiliation: | School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China |
| 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. |
| Keywords: | dimensionality reduction Boosting method feature subset |
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