支持向量机(Support Vector Machine)是Cortes和Vapnik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) is Cortes and Vapnik in 1995, first put forward, which in the settlement of a small sample, nonlinear and high dimensional pattern recognition in the performance of a number of unique advantages, and be able to promote the use of the function fitting other machine learning problems