SVM is based on the theory of structural risk minimization.
支持向量机是基于结构风险最小化理论的。
参考来源 - 多光谱图像分割技术在防沙治沙关键技术中的研究与应用Furthermore, I also studied the advantages and disadvantages as well as its current structural risk the high foreign exchange reserves faces.
同时分析了我国高额外汇储备目前自身所面临的结构风险。
参考来源 - 我国高额外汇储备管理问题研究·2,447,543篇论文数据，部分数据来源于NoteExpress
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。
The learning discipline of SVM is to minimize the structural risk instead of empirical risk, hence the better extensibility is guaranteed.
同时，由于该方法建立在结构风险最小化准则上，而不是仅仅使经验风险最小，所以，它具有好的推广能力。
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