An efficient weighted Lagrangian twin support vector machine for imbalanced data classification

DOI10.1016/j.patcog.2014.03.008zbMath1342.68271OpenAlexW1987769400MaRDI QIDQ736317

Wei-Jie Chen, Jing-Jing Zhang, Zhen Wang, Yuan-Hai Shao, Nai-Yang Deng

Publication date: 3 August 2016

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2014.03.008

zbMATH Keywords

twin support vector machineimbalanced data classificationLagrangian functionsquadratic cost functionsweighted twin support vector machine

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)

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Uses Software

• Matlab
• SVMlight
• LIBSVM

Cites Work

• Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers
• Robust twin support vector machine for pattern classification
• Nonparallel hyperplane support vector machine for binary classification problems
• Weighted least squares support vector machines: robustness and sparse approximation
• Support-vector networks
• Laplacian twin support vector machine for semi-supervised classification
• 10.1162/15324430152748218
• Evaluating Learning Algorithms
• Machine Learning: ECML 2004
• Multicategory proximal support vector machine classifiers
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