Feature importance feedback with Deep Q process in ensemble-based metaheuristic feature selection algorithms
Abstract Feature selection is an indispensable aspect of modern machine learning, especially for high-dimensional datasets where overfitting and computational inefficiencies are common concerns. Traditional methods often employ either filter, wrapper, or embedded approaches, which have limitations i...
Gespeichert in:
| Hauptverfasser: | , |
|---|---|
| Format: | Artigo |
| Sprache: | Inglês |
| Veröffentlicht: |
Nature Portfolio
2024-02-01
|
| Schriftenreihe: | Scientific Reports |
| Online-Zugang: | https://doi.org/10.1038/s41598-024-53141-w |
| Tags: |
Keine Tags, Fügen Sie das erste Tag hinzu!
|
