A robust wrapper-based feature selection technique based on modified teaching learning based optimization with hierarchical learning scheme

A robust wrapper-based feature selection technique based on modified teaching learning based optimization with hierarchical learning scheme

Feature selection is a pivotal preprocessing step in deploying machine learning solutions, aimed at removing redundant features from datasets while preserving predictive accuracy. Despite the popular use of wrapper-based feature selection techniques with metaheuristic search algorithms (MSAs) such a...

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Bibliographic Details
Main Authors: Li Pan, Wy-Liang Cheng, Wei Hong Lim, Abishek Sharma, Vibhu Jately, Sew Sun Tiang, Amal H. Alharbi, El-Sayed M. El-kenawy
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Engineering Science and Technology, an International Journal
Subjects:
Classification
Dynamic Peers Interaction
Feature Selection
Hierarchical Learning
Teaching Learning Based Optimization
Online Access:http://www.sciencedirect.com/science/article/pii/S2215098624003215
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