Learning the machine subject has important practical value.

研究机构学具有重要的实用价值。

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SVM is the hot issue accompanying artificial neural network in machine learning. It involves any practical problems such as classification and regression estimation.

支持向量机是继神经网络后机器学习的热点研究技术，它主要应用于分类和回归问题中。

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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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