However, support vector machine (SVM) can better solve problem of small-sample learning and provides the foundation for solving intelligent diagnosis problems.

而支持向量机能够较好地解决小样本学习问题，为解决智能诊断的这一问题提供了基础。

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The main advantage of SVM is that it can serve better in the processing of small-sample learning problems by the replacement of Experiential Risk Minimization by Structural Risk Minimization.

由于使用结构风险最小化原则代替经验风险最小化原则，使它能较好地处理小样本情况下的学习问题。

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Compared with statistical theory, statistical learning theory focuses on the machine learning of small sample size and can trade off between the complexity of models and generalization performance.

与传统统计学相比，统计学习理论是一种专门研究小样本情况下机器学习规律的理论。

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