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A unified view of feature selection based on Hilbert-Schmidt independence criterion

  • Published:2023-05 Issue: Volume:236 Page:104807
  • ISSN:0169-7439
  • Container-title:Chemometrics and Intelligent Laboratory Systems
  • language:en
  • Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Wang TinghuaORCID,Hu Zhenwei,Liu Hanming

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference65 articles.

1. An introduction to variable and feature selection;Guyon;J. Mach. Learn. Res.,2003

2. Feature selection: a data perspective;Li;ACM Comput. Surv.,2018

3. Feature selection via dependence maximization;Song;J. Mach. Learn. Res.,2012

4. A unified view of causal and non-causal feature selection;Yu;ACM Trans. Knowl. Discov. Data,2021

5. Generalized Fisher score for feature selection;Gu,2011

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