A structural SVM based approach for binary classification under class imbalance

DOI10.1155/2015/269856zbMath1394.68278OpenAlexW2142015987WikidataQ59117791 ScholiaQ59117791MaRDI QIDQ1665155

Fan Cheng, Lei Zhang, Kang Yang

Publication date: 27 August 2018

Published in: Mathematical Problems in Engineering (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1155/2015/269856

Mathematics Subject Classification ID

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

Uses Software

• MWMOTE
• SMOTE

Cites Work

• Unnamed Item
• An efficient weighted Lagrangian twin support vector machine for imbalanced data classification
• Cutting-plane training of structural SVMs
• Evaluation Measures of the Classification Performance of Imbalanced Data Sets

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