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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Subsequently those preprocessing data are the input of SVM (support vector machine) algorithm, which is used for ball bearing fault detection.

将预处理后数据作为SVM(支持向量机)算法的输入，通过SVM算法来检测轴承故障。

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A liveness check algorithm based on body temperature measurement model using SVM (support vector machine) is proposed.

提出了一种基于支持向量机体温检测模型的活性判别算法。

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