给出了一种基于编码二叉树的支持向量的多类分类算法。
Produce an algorithm based on encoding binary tree and supporting vector multi-category classification algorithm.
目前SVM多类分类方法在模式识别领域得到了广泛使用。
The multi-class SVM has recently been extensively applied in the field of pattern recognition.
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.
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.
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.
使用多个支撑矢量机分类器构成一个多类分类器用于多类信号的调制识别。
Several SVM classifiers are used to make a multi-classes classifier for modulation identification.
试验结果表明，采用该方法进行多类分类，跟已有的分类方法相比有更高的分类精度。
The experimental results show that using the method of multiclass classification with the classification method has been compared to a higher classification accuracy.
第四，利用闭凸包收缩原理和特征空间分离度量方法对决策树多类分类算法进行了改进。
Via abstracting this pre-information, the blindness of choosing the classifier can be reduced and existing method of multi-classification can be advanced to improve their accuracy of classification.
有向无环图支持向量(DAG-SVMS)多类分类方法，是一种新的多类分类方法。
Directed acyclic graph support vector (DAG - SVMS) multi - category classification methods, is a new multi - category classification methods.
同时在分析现有多类分类机器不足的基础上，提出了一种基于可行域解析中心的多类分类器。
Then we review multi-class classifiers commonly adopted and propose a multi-class classifier based on analytical center of version space.
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。
This paper introduces "one-against-one" approach, which is a multi-class classification method of SVM.
该方法采用纠错编码支持向量机的多类分类技术，降低了经验风险，能对误差进行自动修正，有效地提高了识别率和识别速度。
A kind of error correction coding methods in the communication between singlechip′s serialport and PC in the electric spark forming machine control system is proposed.
进行销售预测，运动预测，医疗分类，以类无限多。
Perform sales forecasting, sports predictions, medical classification, and much more with NeuroSolutions Infinity.
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.
本篇论文提出一个类神经网路分类器来学习多类的分离模糊资讯。
This paper presents a multiclass neural network classifier to learn disjunctive fuzzy information in the feature space.
为了提高文本分类的准确性，研究并设计了一个基于潜在语义分析和支持向量机的多类文本分类模型。
A multiclass text categorization model based on latent semantic analysis and support vector machine is researched and designed to enhance the accuracy of categorization.
利用这些性质和模糊聚类谱系图逐层分类的特征，建立起模糊聚类谱系图的多叉树。
Making use of the properties and the character of classification at each level on the hierarchical graph, the multi branched tree of the hierarchical graph is set up.
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.
实验结果表明，该方法在多类物体分类中达到9774%的总准确率，取到了非常好的效果。
Experimental results show that the proposed approach works well for image classification and the average accuracy rate can reach 9774%.
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.
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.
文章从模式识别的分类理论出发，提出了改进的二维类间方差的多门限阈值石块分割方法。
In the paper, firstly, using the classification theory in pattern recognition, approach of multithreshold stone image segmentation based on improved 2D class variance is presented.
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.
首先，对测试集进行初分类，以尽可能多地保留多数类的有用信息；其次，对于被初分类预测为少数类的样本进行再次分类，以有效地提高少数类的分类性能。
Firstly, preliminary classification was made on the test data in order to save the useful information of the majority class as much as possible.
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.
本文阐述了世界笠扁蜡蝉属分类研究的历史与现状，并从笠扁蜡蝉属的多型现象入手讨论了这个类群特异的形态特征。
Studies on Systematics and Phytogeny of Genus Trypetimorpha in the World I. The Study History and Morphological Characters of Genus Trypetimorpha C.
本文阐述了世界笠扁蜡蝉属分类研究的历史与现状，并从笠扁蜡蝉属的多型现象入手讨论了这个类群特异的形态特征。
Studies on Systematics and Phytogeny of Genus Trypetimorpha in the World I. The Study History and Morphological Characters of Genus Trypetimorpha C.
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