Multi-Objective Models for Sparse Optimization in Linear Support Vector Machine Classification

The design of linear Support Vector Machine (SVM) classification techniques is generally a Multi-objective Optimization Problem (MOP). These classification techniques require finding appropriate trade-offs between two objectives, such as the amount of misclassified training data (classification erro...

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Bibliographic Details

Published in:	Mathematics
Main Authors:	Behzad Pirouz, Behrouz Pirouz
Format:	Article
Language:	English
Published:	MDPI AG 2023-08-01
Subjects:	support vector machine feature selection sparse optimization multi-objective optimization problems multi-objective machine learning
Online Access:	https://www.mdpi.com/2227-7390/11/17/3721