A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification
Feature selection is a useful technique in classification (and regression) problems to find the most informative features for predicting but still preserves the data generality. However, some feature subset searching methods are too exhaustive while others are too greedy. On the other hand, paramete...
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| 主要な著者: | , , |
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| フォーマット: | Conference poster |
| 言語: | English |
| 出版事項: |
IEEE
2023
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| 主題: | |
| オンライン･アクセス: | https://scholar.dlu.edu.vn/handle/123456789/2711 |
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| Thư viện lưu trữ: | Thư viện Trường Đại học Đà Lạt |
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