A new feature selection approach for optimizing prediction models, applied to breast cancer subtype classification

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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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書誌詳細
主要な著者:	Phạm, Quang Huy, Alioune Ngom, Luis Rueda
フォーマット:	Conference poster
言語:	English
出版事項:	IEEE 2023
主題:	machine learning feature selection
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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