Approaches to Multi-Objective Feature Selection: A Systematic Literature Review
Feature selection has gained much consideration from scholars working in the domain of machine learning and data mining in recent years. Feature selection is a popular problem in Machine learning with the goal of finding optimal features with increase accuracy. As a result, several studies have been...
Guardado en:
Autores principales: | Qasem Al-Tashi, Said Jadid Abdulkadir, Helmi Md Rais, Seyedali Mirjalili, Hitham Alhussian |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
IEEE
2020
|
Materias: | |
Acceso en línea: | https://doaj.org/article/6908d1d322b44f4e977a47f73c5ee214 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
Green Building Energy Cost Optimization With Deep Belief Network and Firefly Algorithm
por: Yan Liao, et al.
Publicado: (2021) -
A Multi-Objective Particle Swarm Optimization for Trajectory Planning of Fruit Picking Manipulator
por: Xiaoman Cao, et al.
Publicado: (2021) -
Multi-objective optimization of time-cost-quality in construction projects using genetic algorithm
por: Isikyildiz,Setenay, et al.
Publicado: (2020) -
Multi-objective spur gear design using teaching learning-based optimization and decision-making techniques
por: Edmund S. Maputi, et al.
Publicado: (2019) -
Robust Optimization of the Multi-Objective Multi-Period Location-Routing Problem for Epidemic Logistics System With Uncertain Demand
por: Shengjie Long, et al.
Publicado: (2021)