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.
作为应用，作者得到了几个涉及间断映象和两个不同拓扑矢量空间的最佳逼近定理和重合点定理。
As applications, several best approximation theorems and coincidence theorems involving discontinuous mappings and two different topological vector Spaces are obtained.
支撑矢量机是一种普适的算法，已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
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