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.

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。

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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.

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。

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The support vector machine(SVM) is a new learning technique based on the statistical learning theory.

支持向量机（SVM）是根据统计理论提出的一种新的学习算法。

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