A new method of fault classification for mechanical system by means of support vector machine (SVM) is proposed and a multi-class SVM classifier based on binary classification was developed.

提出了一种利用支持向量机(SVM)对机械系统故障进行分类的新方法；以二值分类为基础，开发了基于支持向量机的多值分类器。

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P300 speller paradigm is actually a multi-class recognition problem, mainly including preprocessing, feature extraction and recognition classification.

P 300字符拼写的实质是一个多类识别问题，主要包括三个环节：预处理、特征提取、识别分类。

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This paper introduces "one-against-one" approach, which is a multi-class classification method of SVM.

在两类分类的基础上介绍了一种基于SVM的多类分类算法———一对一分类法，并将其用于中国茶叶的分类。

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