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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Những tác giả chính:	Phạm, Quang Huy, Alioune Ngom, Luis Rueda
Định dạng:	Conference poster
Ngôn ngữ:	English
Được phát hành:	IEEE 2023
Những chủ đề:	machine learning feature selection
Truy cập trực tuyến:	https://scholar.dlu.edu.vn/handle/123456789/2711
Các nhãn:	Thêm thẻ Không có thẻ, Là người đầu tiên thẻ bản ghi này!

Thư viện lưu trữ:	Thư viện Trường Đại học Đà Lạt

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