Hybrid feature selection method based on the genetic algorithm and pearson correlation coefficient

R Saidi, W Bouaguel, N Essoussi - Machine learning paradigms: theory …, 2019 - Springer
Feature selection is a robust technique for data reduction and an essential step in successful
machine learning applications. Different feature selection methods have been introduced in …
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[引用][C] Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient

R Saidi, W Bouaguel, N Essoussi - Machine Learning Paradigms: Theory …, 2018 - cir.nii.ac.jp
Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation
Coefficient | CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 …

Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient

R Saidi, W Bouaguel, N Essoussi - Machine Learning Paradigms: Theory …, 2019 - Springer
Feature selection is a robust technique for data reduction and an essential step in successful
machine learning applications. Different feature selection methods have been introduced in …

Hybrid feature selection method based on the genetic algorithm and pearson correlation coefficient

R Saidi, W Bouaguel, N Essoussi - Studies in Computational …, 2019 - ksascholar.dri.sa
Feature selection is a robust technique for data reduction and an essential step in successful
machine learning applications. Different feature selection methods have been introduced in …

Hybrid Feature Selection Method Based on the Genetic Algorithm and Pearson Correlation Coefficient

R Saidi, W Bouaguel, N Essoussi - Machine Learning Paradigms …, 2018 - books.google.com
Feature selection is a robust technique for data reduction and an essential step in successful
machine learning applications. Different feature selection methods have been introduced in …