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...

ver descrição completa

Detalhes bibliográficos

Principais autores:	David Solís-Martín, Juan Galán-Páez, Joaquín Borrego-Díaz
Formato:	Artigo
Idioma:	Inglês
Publicado em:	MDPI AG 2025-02-01
coleção:	Mathematics
Assuntos:	learning curves neural architecture search predictive maintenance Bayesian optimization
Acesso em linha:	https://www.mdpi.com/2227-7390/13/4/555
Tags:	Adicionar Tag Sem tags, seja o primeiro a adicionar uma tag!