| 基于双支持向量机的偏二叉树多类分类算法 |
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| 引用本文： | 谢娟英,张兵权,汪万紫.基于双支持向量机的偏二叉树多类分类算法[J].南京大学学报(自然科学版),2011(4):354-363. |
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| 作者姓名： | 谢娟英 张兵权 汪万紫 |
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| 作者单位： | 陕西师范大学计算机科学学院; |
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| 基金项目： | 中央高校基本科研业务费专项资金(GK200901006);中央高校基本科研业务费专项资金(GK201001003); 陕西省自然科学基础研究计划(2010JM3004) |
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| 摘 要： | 提出一种基于双支持向量机的偏二叉树多类分类算法,偏二叉树双支持向量机多类分类算法.该算法综合了二叉树支持向量机和双支持向量机的优势,实现了在不降低分类性能的前提下,大大缩短训练时间.理论分析和UCI（University of California Irvine）机器学习数据库数据集上的实验结果共同证明,偏二叉树双支持...
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| 关 键 词： | 双支持向量机 偏二叉树支持向量机 支持向量机 多类分类 |
A partial binary tree algorithm for multiclass classification based on twin support vector machines |
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| Xie Juan-Ying,Zhang Bing-Quan,Wang Wan-Zi.A partial binary tree algorithm for multiclass classification based on twin support vector machines[J].Journal of Nanjing University: Nat Sci Ed,2011(4):354-363. |
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| Authors: | Xie Juan-Ying Zhang Bing-Quan Wang Wan-Zi |
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| Affiliation: | Xie Juan-Ying,Zhang Bing-Quan,Wang Wan-Zi (School of Computer Science,Shaanxi Normal University,Xi'an,710062,China) |
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| Abstract: | A new algorithm for multiclass classification problem is presented in this paper.This algorithm,referred here as PBT-TSVM(partial binary tree and twin support vector machines),is a combination of the advantages of binary tree support vector machines(BT-SVM) with those of twin support vector machines(TSVM).Theoretical analysis and experimental results on UCI datasets prove that our PBT-TSVM algorithm not only significantly reduces the training time especially on large datasets,but also gets better classifica... |
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| Keywords: | multiclass classification binary tree support vector machines twin support vector machines support vector machines |
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