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ADMA
2005
Springer

A New Support Vector Machine for Data Mining

9 years 5 months ago
A New Support Vector Machine for Data Mining
Abstract. This paper proposes a new support vector machine (SVM) with a robust loss function for data mining. Its dual optimal formation is also constructed. A gradient based algorithm is designed for fast and simple implementation of the new support vector machine. At the same time it analyzes algorithm’s convergence condition and gives a formula to select learning step size. Numerical simulation results show that the new support vector machine performs significantly better than a standard support vector machine.
Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiu
Added 26 Jun 2010
Updated 26 Jun 2010
Type Conference
Year 2005
Where ADMA
Authors Haoran Zhang, Xiaodong Wang, Changjiang Zhang, Xiuling Xu
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