| 基于正交表的支持向量机并行学习算法 |
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| 引用本文： | 邱宇青,胡光华,潘文林.基于正交表的支持向量机并行学习算法[J].云南大学学报(自然科学版),2006,28(2):93-97. |
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| 作者姓名： | 邱宇青 胡光华 潘文林 |
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| 作者单位： | 1. 云南大学,数学系,云南,昆明,650091
2. 哈尔滨工程大学,机电学院,黑龙江,哈尔滨,150001 |
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| 基金项目： | 国家自然科学基金资助项目(10271103)，云南大学理(工)科校级科研资助项目(2002Q019SL) |
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| 摘 要： | 对大规模训练样本的支持向量机训练问题进行探索,提出了一种基于正交表的并行学习算法.这种方法通过求解一些相互独立的小的训练问题来求解大的训练问题,采用多处理机可求解大规模的训练问题.
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| 关 键 词： | 正交表 并行计算 SVM HBSVM |
| 文章编号： | 0258-7971(2006)02-0093-05 |
| 修稿时间： | 2005年4月25日 |
Parallel algorithm of support vector machine based on orthogonal array |
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| QIU Yu-qing,HU Guang-hua,PAN Wen-lin.Parallel algorithm of support vector machine based on orthogonal array[J].Journal of Yunnan University(Natural Sciences),2006,28(2):93-97. |
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| Authors: | QIU Yu-qing HU Guang-hua PAN Wen-lin |
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| Institution: | 1. Department of Mathematics, Yunnan University, Kunming 650091, China;2. School of Mechanical &; Electrical Engineering, Harbin Engineering University, Harbin 150001, China |
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| Abstract: | Explores the training problems of support vector machine with large training pattern set,and a new parallel algorithm based on orthogonal array is presented.This method breaks a large training problem into some small independent problems.Then the large problems can be solved via solving those small problems individually.Thus we will be able to use this algorithm and the computer with many CPU to calculate large problems. |
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| Keywords: | orthogonal array parallel compute support vector machine(SVM) HBSVM |
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