Volume 2 Number 1
July 2005
Article Contents
L. Meng and Q. H. Wu. Fast Training of Support Vector Machines Using Error-Center-Based Optimization. International Journal of Automation and Computing, vol. 2, no. 1, pp. 6-12, 2005. doi: 10.1007/s11633-005-0006-4
Cite as: L. Meng and Q. H. Wu. Fast Training of Support Vector Machines Using Error-Center-Based Optimization. International Journal of Automation and Computing, vol. 2, no. 1, pp. 6-12, 2005. doi: 10.1007/s11633-005-0006-4

Fast Training of Support Vector Machines Using Error-Center-Based Optimization

  • Received: 2003-11-05
通讯作者: 陈斌, bchen63@163.com
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    沈阳化工大学材料科学与工程学院 沈阳 110142

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Fast Training of Support Vector Machines Using Error-Center-Based Optimization

Abstract: This paper presents a new algorithm for Support Vector Machine (SVM) training, which trains a machine based on the cluster centers of errors caused by the current machine. Experiments with various training sets show that the computation time of this new algorithm scales almost linear with training set size and thus may be applied to much larger training sets, in comparison to standard quadratic programming (QP) techniques.

L. Meng and Q. H. Wu. Fast Training of Support Vector Machines Using Error-Center-Based Optimization. International Journal of Automation and Computing, vol. 2, no. 1, pp. 6-12, 2005. doi: 10.1007/s11633-005-0006-4
Citation: L. Meng and Q. H. Wu. Fast Training of Support Vector Machines Using Error-Center-Based Optimization. International Journal of Automation and Computing, vol. 2, no. 1, pp. 6-12, 2005. doi: 10.1007/s11633-005-0006-4
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