A Two-Stage Feature Selection Approach Based on Artificial Bee Colony and Adaptive LASSO in High-Dimensional Data
High-dimensional datasets, where the number of features far exceeds the number of observations, present significant challenges in feature selection and model performance. This study proposes a novel two-stage feature-selection approach that integrates Artificial Bee Colony (ABC) optimization with Ad...
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Main Authors: | Efe Precious Onakpojeruo, Nuriye Sancar |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2024-12-01
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Series: | AppliedMath |
Subjects: | |
Online Access: | https://www.mdpi.com/2673-9909/4/4/81 |
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