是一种基于结构风险最小化原理的分类技术。
The SVM (support vector machines) is a classification technique based on the structural risk minimization principle.
它基于结构风险最小化准则，目的是最小化泛化误差上界。
It operates on a principle, called structural risk minimization, which aims to minimize the upper bound on the expected generalization error.
支持向量机基于结构风险最小化原则，解决了小样本数据分类和泛化问题。
SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
应用推荐