Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications

Leveraging Feature Extraction to Perform Time-Efficient Selection for Machine Learning Applications

In the age of rapidly advancing machine learning capabilities, the pursuit of maximum performance encounters the practical limitations imposed by limited resources in several fields. This work presents a cost-effective proposal for feature selection, which is a crucial part of machine learning proce...

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Bibliographic Details
Main Authors: Duarte Coelho, Ana Madureira, Ivo Pereira, Ramiro Gonçalves, Susana Nicola, Inês César, Daniel Alves de Oliveira
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Applied Sciences
Subjects:
dimensionality reduction
feature engineering
feature selection
machine learning
Online Access:https://www.mdpi.com/2076-3417/15/15/8196
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