A robust and interpretable feature selection pipeline
A feature selection pipeline that removes redundant and irrelevant features without resulting in a significant drop in performance is investigated in this work. The novel pipeline frameworks consider the combined effect of redundancy minimisation through Principal Feature Analysis (PFA) algorithms...
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2021
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/148109 |
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| 機構: | Nanyang Technological University |
| 語言: | English |