Showing 141 - 160 results of 8,795 for search '"feature selection"', query time: 2.40s Refine Results
  1. 141
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  3. 143
    ...Though there are many feature selection methods for learning, they might not scale well to very...
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  4. 144
    by Chun-Cheng Peng, 彭俊程
    Published 2019
    ... of the clustering result is different. When adding feature selection, the number of features and the selected...
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  5. 145
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  7. 147
    by Hao-Chien Cheng, 鄭皓謙
    Published 2019
    ... for interpretability of black box models. Feature selection is a way to help people understand difficult problem...
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  8. 148
    by 賴仁宏
    Published 2018
    ... extraction, feature selection, classification, and performance appraisal. This study calculated 270 features...
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  9. 149
    by CHEN, YU-XUN, 陳俞勳
    Published 2018
    ... amount of data, reduce a number of features, and retain the accuracy of classification, feature selection...
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  10. 150
    by Lin, LI-Che, 林立哲
    Published 2018
    .... These problems can be improved by feature selection. We hope to remove the noise or irrelevant variables without...
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  11. 151
    by Jones, Derek
    Published 2018
    ... of this work is to demonstrate data driven approaches to perform the feature selection and extraction steps...
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  12. 152
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  14. 154
    by YU, SONGTING, 余松庭
    Published 2017
    ..., Support vector machine, Kernel method, Nonlinear feature selection method, Automatic parameter selection...
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  15. 155
    by Zhao-Zong Chen, 陳肇宗
    Published 2006
    ...碩士 === 國立臺北科技大學 === 電機工程系所 === 94 === The feature selection which choose the best feature from...
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  16. 156
    ... algorithms for analyzing datasets in the feature selection process and classification or estimation process...
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  17. 157
    ... feature selection method, the use of principal component analysis greatly reduces the number of plots...
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  18. 158
    by Demeke Endalie, Getamesay Haile
    Published 2021-01-01
    ... to pick the right features. In this paper, we present a hybrid feature selection method, called IGCHIDF...
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  19. 159
  20. 160
    ... (GA) is regarded as the most commonly used and reliable feature selection tool for the improvement...
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