A kernel-based Perceptron with dynamic memory | |
He, Wenwu ; Wu, Si | |
刊名 | NEURAL NETWORKS |
2012 | |
卷号 | 25页码:106-113 |
关键词 | On-line learning Pattern classification Kernel methods Perceptron and projection ONLINE ALGORITHM DESCENT |
ISSN号 | 0893-6080 |
通讯作者 | He, WW (reprint author), Fujian Univ Technol, Dept Math & Phys, Fuzhou 350108, Fujian, Peoples R China,hwwhbb@163.com |
英文摘要 | In this study, we propose a dynamical memory strategy to efficiently control the size of the support set in a kernel-based Perceptron learning algorithm. The method consists of two operations, namely, the incremental and decremental projections. In the incremental projection, a new presented instance is either added to the support set or discarded depending on a predefined rule. To diminish information loss, we do not throw away those discarded examples cheaply, instead their impact to the discriminative function is sustained by a projection technique, which maps the modified discriminative function into the space spanned by the original support set. When a new example is added to the support set, the algorithm moves to the decremental projection. We evaluate the minimum information loss by deleting one instance from the support set. If this minimum information loss is less than a tolerable threshold, then the corresponding instance is removed; however, its contribution to the discriminative function is reserved by the projection technique. By this, our method can on one hand keep a relatively small size of the support set and on the other hand achieve a high classification accuracy. We also develop a method which sets a budget for the size of the support set. We test our approaches to four benchmark data sets, and find that our methods outperform others in either having higher classification accuracies when the sizes of their support sets are comparable or having smaller sizes of the support sets when their classification accuracies are similar. (C) 2011 Elsevier Ltd. All rights reserved. |
学科主题 | Computer Science ; Neurosciences & Neurology |
收录类别 | SCI |
资助信息 | 973 program of China[2011CBA00406]; State Key Laboratory of Neuroscience in Shanghai, China |
语种 | 英语 |
公开日期 | 2012-07-13 |
内容类型 | 期刊论文 |
源URL | [http://ir.sibs.ac.cn/handle/331001/1514] |
专题 | 上海神经科学研究所_神经所(总) |
推荐引用方式 GB/T 7714 | He, Wenwu,Wu, Si. A kernel-based Perceptron with dynamic memory[J]. NEURAL NETWORKS,2012,25:106-113. |
APA | He, Wenwu,&Wu, Si.(2012).A kernel-based Perceptron with dynamic memory.NEURAL NETWORKS,25,106-113. |
MLA | He, Wenwu,et al."A kernel-based Perceptron with dynamic memory".NEURAL NETWORKS 25(2012):106-113. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论