Exploring the Time-efficient Evolutionary-based Feature Selection Algorithms for Speech Data under Stressful Work Condition
Initially, the goal of Machine Learning (ML) advancements is faster computation time and lower computation resources, while the curse of dimensionality burdens both computation time and resource. This paper describes the benefits of the Feature Selection Algorithms (FSA) for speech data under workl...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Politeknik Elektronika Negeri Surabaya
2021-02-01
|
Series: | Emitter: International Journal of Engineering Technology |
Subjects: | |
Online Access: | http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/571 |