Learning from imbalanced data sets with a Min-Max modular support vector machine

Bao‐Liang Lu; Xiaolin Wang; Yang Yang; Hai Zhao

doi:10.1007/s11460-011-0127-1

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Learning from imbalanced data sets with a Min-Max modular support vector machine

Bao‐Liang Lu Xiaolin Wang Yang Yang Hai Zhao

Year: 2011 Journal: Frontiers of Electrical and Electronic Engineering in China Vol: 6 (1)Pages: 56-71 Publisher: Springer Science+Business Media

DOI: 10.1007/s11460-011-0127-1

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Keywords:

Support vector machine Modular design Computer science Artificial intelligence Machine learning Pattern recognition (psychology) Operating system

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Imbalanced Data Classification Techniques

Physical Sciences → Computer Science → Artificial Intelligence

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Learning from imbalanced data sets with a Min-Max modular support vector machine

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Citation History

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