Exploring the Time-efficient Evolutionary-based Feature Selection Algorithms for Speech Data under Stressful Work Condition

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...

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Bibliographic Details
Main Authors: Derry Pramono Adi, Lukman Junaedi, Frismanda, Agustinus Bimo Gumelar, Andreas Agung Kristanto
Format: Article
Language:English
Published: Politeknik Elektronika Negeri Surabaya 2021-02-01
Series:Emitter: International Journal of Engineering Technology
Subjects:
Feature Selection Algorithms
Curse of Dimensionality
Speech Data
Work Stress
Evolutionary Algorithm
Online Access:http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/571

Internet

http://emitter2.pens.ac.id/ojs/index.php/emitter/article/view/571

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