Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization

Nature Inspired Instance Selection Techniques for Support Vector Machine Speed Optimization

Due to the fast-growing rate of information sources, many organizations and individuals are overwhelmed with vast amounts of data. The rate of data growth is very alarming, and it is already going beyond the Exabyte limit. Hence, there is an obvious need for fast and accurate big data classification...

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Bibliographic Details
Main Authors:	Andronicus A. Akinyelu, Absalom E. Ezugwu
Format:	Article
Language:	English
Published:	IEEE 2019-01-01
Series:	IEEE Access
Subjects:	Machine learning SVM speed optimization support vector machine instance selection
Online Access:	https://ieeexplore.ieee.org/document/8880567/

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