Learning SVM with weighted maximum margin criterion for classification of imbalanced data

DOI10.1016/j.mcm.2010.11.040zbMath1227.68098OpenAlexW1964215280MaRDI QIDQ649635

Zhuangyuan Zhao, Ping Zhong, Yaohong Zhao

Publication date: 5 December 2011

Published in: Mathematical and Computer Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mcm.2010.11.040

zbMATH Keywords

support vector machineimbalanced data learningkernel optimizationweighted maximum margin criterion

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Near-Bayesian support vector machines for imbalanced data classification with equal or unequal misclassification costs

Uses Software

• UCI-ml
• SMOTE

Cites Work

• Unnamed Item
• Unnamed Item
• Unnamed Item
• Classification and identification of foreign fibers in cotton on the basis of a support vector machine
• Partially linear support vector machines applied to the prediction of mine slope movements
• Cost-sensitive boosting for classification of imbalanced data
• 10.1162/15324430260185574
• 10.1162/153244303321897726
• Structural, Syntactic, and Statistical Pattern Recognition

This page was built for publication: Learning SVM with weighted maximum margin criterion for classification of imbalanced data