The nature of statistical learning theory
The nature of statistical learning theory
Three remarks on the support vector method of function estimation
Advances in kernel methods
SSVM: A Smooth Support Vector Machine for Classification
Computational Optimization and Applications
A polynomial smooth support vector machine for classification
ADMA'05 Proceedings of the First international conference on Advanced Data Mining and Applications
A matrix algorithm for mining association rules
ICIC'05 Proceedings of the 2005 international conference on Advances in Intelligent Computing - Volume Part I
An overview of statistical learning theory
IEEE Transactions on Neural Networks
Successive overrelaxation for support vector machines
IEEE Transactions on Neural Networks
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In this paper, a new method that three-power spline function is used to smoothen the model of support vector machine (SVM) is presented. A third-order spline smooth support vector machine(TSSSVM) is obtained. Moreover, by analyzing the function precision, TSSSVM is better than SSVM and PSSVM.