Large margin DragPushing strategy for centroid text categorization
文献类型：期刊论文
| 作者 | Tan, Songbo |
| 刊名 | EXPERT SYSTEMS WITH APPLICATIONS
 |
| 出版日期 | 2007-07-01 |
| 卷号 | 33期号:1页码:215-220 |
| 关键词 | text classification information retrieval machine learning |
| ISSN号 | 0957-4174 |
| DOI | 10.1016/j.eswa.2006.04.008 |
| 英文摘要 | Among all conventional methods for text categorization, centroid classifier is a simple and efficient method. However it often suffers from inductive bias (or model misfit) incurred by its assumption. DragPushing is a very simple and yet efficient method to address this so-called inductive bias problem. However, DragPushing employs only one criterion, i.e., training-set error, as its objective function that cannot guarantee the generalization capability. In this paper, we propose a generalized DragPushing strategy for centroid classifier, which we called as "Large Margin DragPushing" (LMDP). The experiments conducted on three benchmark evaluation collections show that LMDP achieved about one percent improvement over the performance of DragPushing and delivered top performance nearly as well as state-of-the-art SVM without incurring significant computational costs. (c) 2006 Published by Elsevier Ltd. |
| WOS研究方向 | Computer Science ; Engineering ; Operations Research & Management Science |
| 语种 | 英语 |
| WOS记录号 | WOS:000244110600021 |
| 出版者 | PERGAMON-ELSEVIER SCIENCE LTD |
| 源URL | [http://119.78.100.204/handle/2XEOYT63/10992]  |
| 专题 | 中国科学院计算技术研究所期刊论文_英文 |
| 通讯作者 | Tan, Songbo |
| 作者单位 | 1.Chinese Acad Sci, Inst Comp Technol, Software Dept, Beijing 100080, Peoples R China 2.Chinese Acad Sci, Grad Sch, Beijing 100080, Peoples R China |
| 推荐引用方式 GB/T 7714 | Tan, Songbo. Large margin DragPushing strategy for centroid text categorization[J]. EXPERT SYSTEMS WITH APPLICATIONS,2007,33(1):215-220. |
| APA | Tan, Songbo.(2007).Large margin DragPushing strategy for centroid text categorization.EXPERT SYSTEMS WITH APPLICATIONS,33(1),215-220. |
| MLA | Tan, Songbo."Large margin DragPushing strategy for centroid text categorization".EXPERT SYSTEMS WITH APPLICATIONS 33.1(2007):215-220. |
入库方式： OAI收割
来源：计算技术研究所
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