支持向量机(SVM)是一种新的通用学习机器，它从结构风险最小化的角度，分析了学习过程的一致性、收敛速度等。

Support vector machine (SVM) is a new general learning machine, which analyzes the consistency of learning and speed of convergence from structure risk minimization principle.

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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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基于统计学习理论中结构风险最小化原则的支持向量机是易于小样本的机器学习方法。

Support vector machine (SVM) based on the structural risk minimization of statistical learning theory is a method of machine learning for small sample set.

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