摘要
Because of the large web scale and the information requirement for special field, focuse2825453011d search has attracted more and more people. For the complexity of natural language, there are ambiguous for a word itself, and which will take some trouble for topic filter. For the two main problems, false positive and false negative, this paper proposes two new methods separately. By machine learning, we construct a guide model with the maximum entropy principle, by which we can filter the noise pages out easily and by KNN method, the false negative problem will be solved easily. The experiment shows that our model or method really outperforms the base-line method.
| 源语言 | 英语 |
|---|---|
| 主期刊名 | 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 |
| 页 | 495-499 |
| 页数 | 5 |
| DOI | |
| 出版状态 | 已出版 - 2009 |
| 已对外发布 | 是 |
| 活动 | 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 - Tianjin, 中国 期限: 14 8月 2009 → 16 8月 2009 |
出版系列
| 姓名 | 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 |
|---|---|
| 卷 | 7 |
会议
| 会议 | 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 |
|---|---|
| 国家/地区 | 中国 |
| 市 | Tianjin |
| 时期 | 14/08/09 → 16/08/09 |
指纹
探究 'A new topic filter based on maximum entropy model' 的科研主题。它们共同构成独一无二的指纹。引用此
Chen, C., Liu, H., Wang, G., & Yu, L. (2009). A new topic filter based on maximum entropy model. 在 6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009 (页码 495-499). 文章 5360059 (6th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2009; 卷 7). https://doi.org/10.1109/FSKD.2009.709