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MvMENSVM : A multi-view support vector machine with manifold elastic net regularization

delete2026-02-13
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PRE
AI
W
Wenxin Zhu
Y
Yunyan Song
Q
Qi Liu
DOI:10.1016/j.eswa.2026.131666delete
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Abstract

Abstract

En 中文
• A novel multi-view SVM (MvMENSVM) unifying manifold learning with elastic net regularization. • Robust Huberized hinge loss for enhanced tolerance to label noise and outliers. • Joint elastic net regularization enables sparse feature selection across all views. • Adaptive manifold term preserves data geometry using learnable graph coefficients. • Efficient proximal gradient algorithm with proven convergence guarantees.
Keywords:
Multi-view learning
Support vector machine
Manifold regularization
Elastic net
Proximal gradient method

Journal

Expert Systems with Applications cover
Expert Systems with Applications
IF:
7.5
Papers:
2.9W
Citations:
10.2W

Organization

T
Tianjin Agricultural University
Scholars:
1.8K
Papers: 975
Citations: 1.3K
T
Tianjin University of Technology
Scholars:
8.8K
Papers: 5.9K
Citations: 1.0W