Search for Better Random Forests with an Tree Selection Method
文献类型：期刊论文
| 作者 | Xu Baoxun; Ye Yunming; Wang Qiang; Li Junjie |
| 刊名 | ICIC Express Letters
 |
| 出版日期 | 2011 |
| 卷号 | 5期号:12页码:4257-4262 |
| 英文摘要 | Random forest is an ensemble method with high classification performance by voting the results of individual tree classifiers. However, owing to the complexity of data distribution in high dimensional space, a random forest may include bad trees that can result in wrong results. As a consequence, inappropriate ensemble classification decision will be made if there are a large proportion of bad trees included in a random forest. In this paper, we propose a tree selection method which aims to optimize the tree selection process so that only good trees are selected and included in a random forest. Experimental results on both the UCI and real world datasets have demonstrated that the proposed method could generate a random forest with higher performance with regard to the classification accuracy and the error bound than the random forests generated by Breiman's method. © 2011 ICIC International.(14 refs) |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/3547]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | ICIC Express Letters |
| 推荐引用方式 GB/T 7714 | Xu Baoxun,Ye Yunming,Wang Qiang,et al. Search for Better Random Forests with an Tree Selection Method[J]. ICIC Express Letters,2011,5(12):4257-4262. |
| APA | Xu Baoxun,Ye Yunming,Wang Qiang,&Li Junjie.(2011).Search for Better Random Forests with an Tree Selection Method. ICIC Express Letters,5(12),4257-4262. |
| MLA | Xu Baoxun,et al."Search for Better Random Forests with an Tree Selection Method". ICIC Express Letters 5.12(2011):4257-4262. |
入库方式： OAI收割
来源：深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
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。