...多类分类;最小码间距离;输出校正码 [gap=1087]Key words: M-ary; Support Vector Machine (SVM); error correction coding; multi-category classification; minimum code distance; output correction code ..
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What’s more, this paper gives a specific introduction of the related knowledge of SLT, the principle of SVM and two main types of multi-category classification, that is,“one-against-rest”and“one-against-one”.
然后介绍了统计学习理论相关知识、支持向量机原理以及两种主要的支持向量机多类分类算法,即“一对余类”和“成对分类”。
参考来源 - 基于支持向量机的故障诊断方法研究·2,447,543篇论文数据，部分数据来源于NoteExpress
Produce an algorithm based on encoding binary tree and supporting vector multi-category classification algorithm.
给出了一种基于编码二叉树的支持向量的多类分类算法。
In this paper, learning algorithm for solving multi-category classification using convex upper losses is studied.
本文研究基于凸风险最小化方法的多分类贪婪算法，推广二分类的学习问题到多分类的情形。
Secondly, the text studies the Statistical Learning Theory(STL) and Support Vector Machine(SVM)theory seriously, discusses multi-category classification algorithms of SVM.
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。
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