Random forest-based approach for physiological functional variable selection for driver’s stress level classification

2018 ◽  
Vol 28 (1) ◽  
pp. 157-185 ◽  
Author(s):  
Neska El Haouij ◽  
Jean-Michel Poggi ◽  
Raja Ghozi ◽  
Sylvie Sevestre-Ghalila ◽  
Mériem Jaïdane
Keyword(s):  
Random Forest ◽  
Variable Selection ◽  
Stress Level ◽  
Functional Variable ◽  
Selection For

Variable selection for estimating individual tree height using genetic algorithm and random forest

2022 ◽  
Vol 504 ◽  
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Author(s):  
Evandro Nunes Miranda ◽  
Bruno Henrique Groenner Barbosa ◽  
Sergio Henrique Godinho Silva ◽  
Cassio Augusto Ussi Monti ◽  
David Yue Phin Tng ◽  
...  
Keyword(s):  
Genetic Algorithm ◽  
Random Forest ◽  
Variable Selection ◽  
Tree Height ◽  
Individual Tree ◽  
Selection For

Database-Driven Modeling based on Variable Selection using Random Forest and Its Application for Linear Air Fuel Ratio Sensor Output Prediction

2019 ◽  
Vol 139 (8) ◽  
pp. 850-857
Author(s):  
Hiromu Imaji ◽  
Takuya Kinoshita ◽  
Toru Yamamoto ◽  
Keisuke Ito ◽  
Masahiro Yoshida ◽  
...  
Keyword(s):  
Random Forest ◽  
Variable Selection ◽  
Sensor Output ◽  
Fuel Ratio

scholarly journals Generalized additive model with embedded variable selection for bankruptcy prediction: Prediction versus interpretation

2019 ◽  
Vol 7 (1) ◽  
pp. 1597956
Author(s):  
Carlos Valencia ◽  
Sergio Cabrales ◽  
Laura Garcia ◽  
Juan Ramirez ◽  
Diego Calderona ◽  
...  
Keyword(s):  
Variable Selection ◽  
Generalized Additive Model ◽  
Additive Model ◽  
Bankruptcy Prediction ◽  
Selection For

Variable Selection for Mixed Data Clustering: Application in Human Population Genomics

2019 ◽  
Vol 37 (1) ◽  
pp. 124-142 ◽  
Author(s):  
Matthieu Marbac ◽  
Mohammed Sedki ◽  
Tienne Patin
Keyword(s):  
Variable Selection ◽  
Data Clustering ◽  
Human Population ◽  
Population Genomics ◽  
Mixed Data ◽  
Selection For
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