Fast instance selection for speeding up support vector machines

  title={Fast instance selection for speeding up support vector machines},
  author={Jingnian Chen and Caiming Zhang and Xiaoping Xue and Cheng-Lin Liu},
  journal={Knowl.-Based Syst.},
Support vector machine (SVM) has shown prominent performance for binary classification. How to effectively apply it to massive datasets with large number of classes and instances is still a serious challenge. Instance selection methods have been proposed and shown significant efficacy for reducing the training complexity of SVM, but more or less trade off the generalization performance. This paper presents an instance selection method especially for multi-class problems. With cluster centers of… CONTINUE READING
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