So a novel promising machine learning technique specifically developed for analyzing little amount of samples, SVM (Support Vector Machine), will be more suitable in practical industrial application.

因此在实际的工程应用中，支持向量机（SVM）作为一种新型的小样本建模分析工具是更适合的。

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The results show that the extracting method based on support vector machine is accurate and efficient and constructing the EOG-SVR system is practical.

研究结果表明，基于支持向量机的提取方法是准确、有效的，构筑EOG - SVR系统是可行的。

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Now, how to design fast and efficient SVM algorithms applied to regression estimation becomes a great challenge in practical applications of support vector machine.

目前，如何设计快速有效的回归估计算法仍然是支持向量机实际应用中的问题之一。

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