SVM只能解决二类样本问题，无法解决实际情况中的多类分类问题。
SVM can only deal with the two-sample problem and can do nothing for the multi-classification problem.
新的多类SVM在一定程度上解决了传统投票决策方法的不可分区域问题，因此具有更好的分类性能。
The presented multi-class SVM is of better classification ability and can solve the unclassifiable region problems int.
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。
P300 speller paradigm is actually a multi-class recognition problem, mainly including preprocessing, feature extraction and recognition classification.
库存分类管理是一类多准则优化问题。
The problem of classifying the items in an inventory is a kind of multicriteria optimization problem.
为了提高多类问题的分类精度，提出最大边界模糊核超球(LMFKHB)算法。
In order to improve the classification accuracy of multiclass, an algorithm called Large Margin and Fuzzy Kernel Hyper-Ball (LMFKHB) was proposed.
而现实世界中的大部分数据都是多类数据，所以需要对简单支持向量机作进一步扩展，使之能解决多值分类问题。
In the real world most of the data is multi-class data, so the simple SVM need for further expansion, so that it can solve the multi-value classification.
介绍了支持向量机的变形算法、多类分类算法及模型选择问题；
The transformative algorithm based on SVM, multi-class SVM and model selection are also presented.
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。
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.
首先利用模板匹配进行粗分类，将多类问题转化成两类问题，再利用支持向量机进行精确分类。
In the proposed method, the original problem is firstly question firstly coarsely classified into a two-classes problem by using template matching, and then are accurately classified by means of SVM.
首先利用模板匹配进行粗分类，将多类问题转化成两类问题，再利用支持向量机进行精确分类。
In the proposed method, the original problem is firstly question firstly coarsely classified into a two-classes problem by using template matching, and then are accurately classified by means of SVM.
应用推荐