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。

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.

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支撑矢量机是根据统计学习理论提出的一种新的学习方法，即使用核函数在高维空间里进行有效的计算。

The support vector machine is a novel type of learning technique, based on statistical learning theory, which USES Mercer kernels for efficiently performing computations in high dimensional Spaces.

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支持向量机是一种基于统计学习理论的新型机器学习方法，它可以被广泛地用于非线性系统建模。

Support vector machine (SVM) is a brand-new machine learning technique based on statistical learning theory. It is an ideal facility for modeling of various nonlinear systems.

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