支持向量机是一种基于结构风险最小化原理的学习技术，也是一种新的具有很好泛化性能的回归方法。

Support vector machine is a learning technique based on the structural risk minimization principle as well as a new regression method with good generalization ability.

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支持向量机(SVM)是一种基于结构风险最小化原理，具有很好推广性能的学习算法。

The support vector machine (SVM) is an algorithm based on structure risk minimizing principle and high generalization ability.

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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。

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.

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