A novel feature selection framework for incomplete data-Reference-Cited by-同舟云学术

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A novel feature selection framework for incomplete data

Published:2024-09 Issue: Volume:252 Page:105193
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Guo Cong,Yang Wei,Li Zheng,Liu Chun

Publisher

Elsevier BV

Reference39 articles.

1. QBSO-FS: a Reinforcement learning based bee swarm optimization metaheuristic for feature selection;Sadeg,2019

2. Feature selection for classification;Dash;Intell. Data Anal.,1997

3. ReliefF for estimation and discretization of attributes in classification, regression;Kononenko,1996

4. Relief-based feature selection: introduction and review;Urbanowicz;J. Biomed. Inf.,2018

5. A novel random multi-subspace based ReliefF for feature selection;Zhang;Knowl. Base Syst.,2022

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