Ensemble Feature Selection Method with Fast Transfer Model

Ensemble Feature Selection Method with Fast Transfer Model

Compared with the traditional ensemble feature selection methods, the recently-developed ensemble feature selection with block-regularized [m×2] cross-validation (EFSBCV) not only has a variance of the estimator smaller than that of random [m×2] cross-validation, but also enhances the selection prob...

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Bibliographic Details
Main Author:	NING Baobin, WANG Shitong
Format:	Article
Language:	zho
Published:	Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2024-02-01
Series:	Jisuanji kexue yu tansuo
Subjects:	ensemble feature selection; cross-validation; transfer learning; regression
Online Access:	http://fcst.ceaj.org/fileup/1673-9418/PDF/2211073.pdf

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