Batch-mode active learning with semi-supervised cluster tree for text classification
文献类型：会议论文
| 作者 | Zhaocai Sun; Yunming Y; Xiaofeng Zhang; Zhexue Huang; Shudong Chen; Zhi Liu |
| 出版日期 | 2012 |
| 会议名称 | Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on |
| 会议地点 | 澳门 |
| 英文摘要 | In web mining, there are situations in which only few data is labeled which imposes difficulties on traditional web page classification algorithms. Active learning scheme is then proposed to sample the most representative unlabeled data, which are then annotated by external oracles. Most present active methods are based on series-mode query strategy, which deduces the process of active learning inefficient and unstable. In this paper, we propose a novel text oriented active semi-supervised classification model, which is so-called active SSC. Comparing with other active approaches, our model has the characteristic of comprehensibility, and thus it is easy to design a batch-mode query strategy. Experimental results on public text data showed our method is an effect and stable active approach. |
| 收录类别 | EI |
| 语种 | 英语 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/4226]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2012 |
| 推荐引用方式 GB/T 7714 | Zhaocai Sun,Yunming Y,Xiaofeng Zhang,et al. Batch-mode active learning with semi-supervised cluster tree for text classification[C]. 见:Web Intelligence and Intelligent Agent Technology (WI-IAT), 2012 IEEE/WIC/ACM International Conferences on. 澳门. |
入库方式： OAI收割
来源：深圳先进技术研究院
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