For the multi-class classification problem, one-to-one Categories designed classifier was used.
针对于多类分类问题,采用一对一的分类方法设计分类器。
参考来源 - 基于FSVM的高光谱遥感影像分类算法研究In order to cope with multi-class classification, people combine several binary classifiers to create a multi-class classifier.
在应对多类分类任务时，现今通常的解决方法是通过构造多个二元分类器，并将他们组合起来形成一个多类分类器。
参考来源 - 基于类信息的潜在语义多类文本分类模型研究This thesis studies the support vector machine and multi-class classification in the statistical learning theory, and applies the support vector machine into the machine paper currency recognition.
本文主要研究了统计学习理论中支持向量机的二次优化算法和多值分类，并将支持向量机应用于货币的机器识别中。
参考来源 - 支持向量机研究及其在货币识别中的应用·2,447,543篇论文数据，部分数据来源于NoteExpress
以上来源于: WordNet
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。
The problems and defections of the existing methods of SVM multi-class classification were analyzed. A multi-class classification based on binary tree was put forward.
介绍了几种常用的支持向量机多类分类方法，分析其存在的问题及缺点。
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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