支持向量机 支持向量机方法是建立在统计学习理论的VC 维理论和结构风险最小原理基础上的，根据有限的样本信息在模型的复杂性（即对特定训练样本的学习精度）和学习能力（即无错误地识别任意样本的能力）之间寻求最佳折衷，以期获得最好的推广能力-Support vector machine Support vector machine is Jianli statistical learning theory of VC dimension theory and structural risk minimization principle based on the, based on a limited sample of the information in the model complexity (ie, specific training samples, learning accuracy) and learning Neng Li ( that is error-free samples to identify any capacity) to find the best compromise between, in order to obtain the best generalization ability