The support vector machine is a new statistical learning method. It can solve small-sample, non-linear and high dimension problems by using structural risk minimization (SRM) instead of empirical risk minimization (ERM).

• 支持向量机则是一门新的统计模式分类方法,支持向量机用结构风险最小化原则代替了经验风险最小化原则,同传统的模式识别方法相比,支持向量机在小样本、非线性及高维模式识别问题中表现出许多特有的优势。