A Model for Learning-Curve Estimation in Efficient Neural Architecture Search and Its Application in Predictive Health Maintenance
A persistent challenge in machine learning is the computational inefficiency of neural architecture search (NAS), particularly in resource-constrained domains like predictive maintenance. This work introduces a novel learning-curve estimation framework that reduces NAS computational costs by over 50...
| Autores principales: | , , |
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| Formato: | Artículo |
| Lenguaje: | English |
| Publicado: |
MDPI AG
2025-02-01
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| Colección: | Mathematics |
| Materias: | |
| Acceso en línea: | https://www.mdpi.com/2227-7390/13/4/555 |