On feature selection for supervised learning problems involving high-dimensional analytical information

RSC Advances ◽  
2016 ◽  
Vol 6 (86) ◽  
pp. 82801-82809 ◽  
Author(s):  
P. Žuvela ◽  
J. Jay Liu
Keyword(s):  
Feature Selection ◽  
Supervised Learning ◽  
Learning Problems ◽  
High Dimensional ◽  
Analytical Information ◽  
Selection For

Feature selection for supervised learning problems involving analytical information.

scholarly journals Feature Selection for High Dimensional Data Using Weighted K-Nearest Neighbors and Genetic Algorithm

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 139512-139528
Author(s):  
Shuangjie Li ◽  
Kaixiang Zhang ◽  
Qianru Chen ◽  
Shuqin Wang ◽  
Shaoqiang Zhang
Keyword(s):  
Genetic Algorithm ◽  
Feature Selection ◽  
High Dimensional Data ◽  
Nearest Neighbors ◽  
High Dimensional ◽  
K Nearest Neighbors ◽  
Selection For

scholarly journals High-dimensional feature selection for genomic datasets

2020 ◽  
Vol 206 ◽  
pp. 106370 ◽  
Author(s):  
Majid Afshar ◽  
Hamid Usefi
Keyword(s):  
Feature Selection ◽  
High Dimensional ◽  
Selection For
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