Support Vector Machine for regression (SVR) has shown very good learning performance.

回归型支持向量机方法SVR具有很好的学习性能。

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Support vector machines (SVM) are a kind of novel machine learning methods, based on statistical learning theory, which have been developed for solving classification and regression problems.

支持向量机是一种基于统计学习理论的新颖的机器学习方法，该方法已广泛用于解决分类和回归问题。

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The support vector machine (SVM) is a very effective method for regression issue.

支持向量回归机是求解回归问题的新的十分有效的方法。

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