Feature Screening via Mutual Information Learning Based on Nonparametric Density Estimation

With the advent of the era of big data, feature selection in high- or ultra-high-dimensional data is increasingly important in statistics and machine learning fields. In this paper, we propose a marginal utility measure screening method MI-SIS based on mutual information. The proposed marginal utili...

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Bibliographic Details
Main Authors: Shengbin Zhou, Tao Wang, Yejin Huang
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/7584374
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