Analysis and Benchmarking of feature reduction for classification under computational constraints

Machine learning is most often expensive in terms of computational and memory costs due to training with large volumes of data. Current computational limitations of many computing systems motivate us to investigate practical approaches, such as feature selection and reduction, to reduce the time and...

Full description

Bibliographic Details

Published in:	Machine Learning: Science and Technology
Main Authors:	Omer Subasi, Sayan Ghosh, Joseph Manzano, Bruce Palmer, Andrés Marquez
Format:	Article
Language:	English
Published:	IOP Publishing 2024-01-01
Subjects:	machine learning feature reduction feature selection feature extraction classification memory
Online Access:	https://doi.org/10.1088/2632-2153/ad3726