另外，支撑矢量机多用户检测器的非线性特性可以比线性检测器更好地逼近最优检测器。
The nonlinear support vector machine multiuser detector can approach the optimum multiuser detector in a better way than the other linear detectors.
在线性规划支撑矢量机中，对其VC维数界作了适当的放宽。
In linear programming linear SVMs, the bound of the VC dimension is loosened properly.
文中最后对人工和实际样本进行了实验，结果说明了线性规划支撑矢量机在推广能力上较好地逼近了原支撑矢量机，而在计算复杂度上明显低于原支撑矢量机。
Simulation results for both artificial and real data show the generalization performance of our method is a good approximation of SVMs and the computation complexity is largely reduced by our method.
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