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.
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.
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.
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.
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.
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.
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