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A novel hybrid feature selection method based on dynamic feature importance

  • Published:2020-08 Issue: Volume:93 Page:106337
  • ISSN:1568-4946
  • Container-title:Applied Soft Computing
  • language:en
  • Short-container-title:Applied Soft Computing

Author:

Wei GuangfenORCID,Zhao Jie,Feng Yanli,He Aixiang,Yu Jun

Funder

National Natural Science Foundation of China

Key Research and Development Projects of Yantai, China

Shandong Province Higher Educational Science and Technology Program, China

Natural Science Foundation of Shandong Province, China

Publisher

Elsevier BV

Subject

Software

Reference41 articles.

1. Feature selection: a data perspective;Li;ACM Comput. Surv.,2017

2. A semidefinite programming based search strategy for feature selection with mutual information measure;Naghibi;IEEE Trans. Pattern Anal. Mach. Intell.,2015

3. Unsupervised feature selection using feature similarity;Mitra;IEEE Trans. Pattern Anal. Mach. Intell.,2002

4. Probability density function estimation using the EEF with application to subset/feature selection;Kay;IEEE Trans. Signal Process.,2016

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

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