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A robust twin parametric margin support vector machine for multiclass classification
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DOI：10.1016/j.ejco.2025.100115.png)
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Abstract
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• A novel Twin Parametric Margin Support Vector Machine model is proposed. • The model is designed to tackle multiclass classification tasks. • The model is safeguarded against uncertainty via robust optimization techniques. • Both linear and nonlinear classifiers are considered. • The effectiveness of the proposed robust model is validated on real-world datasets.
Keywords:
Machine learning
Support vector machine
Robust optimization
Multiclass classification
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