Imbalanced data classification using second-order cone programming support vector machines

Sebastián Maldonado; Julio López

doi:10.1016/j.patcog.2013.11.021

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Imbalanced data classification using second-order cone programming support vector machines

Sebastián Maldonado Julio López

Year: 2013 Journal: Pattern Recognition Vol: 47 (5)Pages: 2070-2079 Publisher: Elsevier BV

DOI: 10.1016/j.patcog.2013.11.021

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Keywords:

Support vector machine Margin (machine learning) Computer science Artificial intelligence Maximization Structured support vector machine Hinge loss Linear programming Pattern recognition (psychology) Second-order cone programming Machine learning Mathematics Mathematical optimization Algorithm Convex optimization Regular polygon

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Electricity Theft Detection Techniques

Physical Sciences → Engineering → Electrical and Electronic Engineering

Imbalanced data classification using second-order cone programming support vector machines

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