Support vector machine is a new learning method based on VC theory, good generalization is required by minimizing the upper abound of expected risk.
支持向量机是一种基于VC理论的创造性学习方法，它能够使期望风险最小化，具有较强的推广能力。
By the time of middle and late 1990s, a large amount of materials on VC theory and practice were introduced into China, which greatly pushed the development of this industry.
到了九十年代中后期，介绍创业投资制度理论和实践的书刊资料被大量的传播到中国。
Support Vector Machine (SVM) is a kind of learning machines constructed according to SRM principle on the basis of VC theory, which is much more powerful man the neural networks.
支撑矢量机（SVM）是在VC理论的基础上根据结构风险最小归纳原理建立的一种比神经网络更强有力的学习机。
This paper introduces the machine structure of controlled five-bar mechanism and its theory of control, and puts forward a plan that develops the program of the control system by VC base on PMAC.
介绍了受控五杆机构的机械系统结构及其控制原理，提出在PMAC控制器基础上运用VC对受控五杆机构试验台的上位机的编程设计。
The article analyzes the theory of culling and brings forward a new culling arithmetic idea and gives most VC code.
对物体裁剪的工作原理进行了详细的分析，提出了一个新的简便的裁剪算法，并给出了该算法的关键代码。
VC dimension plays a central role in the Statistical Learning Theory especially for classification problems.
在统计学习理论中，尤其对于分类问题，VC维扮演着中心作用。
Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.
支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。
Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.
支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。
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