输出编码是解决多类别分类问题的一般性框架。
Output coding is a general framework for solving multiclass problems.
本文对基于遗传规划的预测方法进行了介绍，并改进了一种基于遗传规划的多类别分类方法。
This article introduces the prediction method and improves an multi-classification method based on GP method.
其次，认真研究了统计学习理论的主要内容和SVM算法的基本原理，并且就SVM的多种多类别分类算法分别加以讨论。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
最后在完成基于SVM多类别分类的理论研究的基础上，将其理论应用于实践，构建了一个了基于SVM的网络文本分类模型。
Finally, based on basic research of multi-class categorization of SVM, the text applies the theory to practice and analyzes a web text categorization model based on SVM network.
将适于二歧性状的一元线性模型推广到多类别分类性状基因定位分析中，文中提出采用多元线性模型对多类别分类性状进行基因定位分析。
We developed a multiple trait linear model approach to mapping QTL for categorical trait from simple linear model approach to mapping QTL for binary trait.
手写汉字分割和多类别金融票据图像分类是实现票据自动处理的基础。
The segmentation of handwritten Chinese words and the classification of multi-sort financial notes images is the basis of implementation of notes automatic procession.
真实世界的文档往往同时属于多个类别，因此，利用多标记学习技术进行文档分类是一个重要的研究方向。
Real-world text documents usually belong to multiple classes simultaneously, and therefore, using multi-label learning technique to classify text documents is an important research direction.
提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。
A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.
一种高光谱遥感数据多类别监督分类方法，包含以下步骤：（1）读入 高光谱数据；
The invention relates to a supervised classification method of multi-class hyperspectrum remotely sensed data, which comprises the following steps: (1), reading the hyperspectrum data;
实验结果表明，该方法对解决分类特征不易于提取，类别数目多的分类问题有明显效果，分类准确率达到89．16％。
Experiment results show that the proposed method is efficient to solve multi-classes classification problem and the accuracy can be achieved to 89.16%.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
将遗传程序设计方法应用到分类规则的挖掘上，利用具有分层结构的两类别分类问题的分类器解决多类别的分类问题。
Genetic Programming is applied to mining classification rules, it can effectively solve multiclass classification by several two-class classifiers using structural hierarchy.
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