以上来源于: WordNet
The SVM (support vector machines) is a classification technique based on the structural risk minimization principle.
是一种基于结构风险最小化原理的分类技术。
SVM can solve small sample problems and has good generalization ability using the principles of structural risk minimization.
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。
Secondly, on the basis of these bounds, the idea of the structural risk minimization principle based on birandom samples is presented.
以这些界为基础,给出基于双重随机样本的结构风险最小化原则。
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