说明：  支持向量机(Support Vector Machine，SVM)是Corinna Cortes和Vapnik8等于1995年首先提出的，它在解决小样本、非线性及高维模式识别中表现出许多特有的优势，并能够推广应用到函数拟合等其他机器学习问题中。
(SVM (Support Vector Machine, SVM) was Corinna ms Cortes and Vapnik8 is first proposed in 1995, it is to solve the small sample, nonlinear and high dimensional pattern recognition in the exhibit many unique advantages, and can be applied to the function fitting other Machine learning problems.)