Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems

Teaching Learning-Based Optimization With Evolutionary Binarization Schemes for Tackling Feature Selection Problems

Machine learning techniques heavily rely on available training data in a data set. Certain features in the data can interfere with the learning process, so it is required to remove irrelevant and redundant features to build a robust training model. As such, several feature selection techniques are u...

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Bibliographic Details
Main Authors: Thaer Thaher, Majdi Mafarja, Hamza Turabieh, Pedro A. Castillo, Hossam Faris, Ibrahim Aljarah
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Teaching-learning
feature selection
metaheuristic
transfer function
binarization
Online Access:https://ieeexplore.ieee.org/document/9373374/

Internet

https://ieeexplore.ieee.org/document/9373374/

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