图 书 馆
判别实验设计Discriminative Experimental Design |
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| 课程网址: | https://videolectures.net/videos/ecmlpkdd2011_zhang_design |
| 主讲教师: | Yu Zhang |
| 开课单位: | 信息不详。欢迎您在右侧留言补充。 |
| 开课时间: | 2011-11-29 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | Since labeling data is often both laborious and costly, the labeled data available in many applications is rather limited. Active learning is a learning approach which actively selects unlabeled data points to label as a way to alleviate the labeled data deficiency problem. In this paper, we extend a previous active learning method called transductive experimental design (TED) by proposing a new unlabeled data selection criterion. Our method, called discriminative experimental design (DED), incorporates both margin-based discriminative information and data distribution information and hence it can be seen as a discriminative extension of TED. We report experiments conducted on some benchmark data sets to demonstrate the effectiveness of DED. |
| 关 键 词: | 数据标记：主动学习：判别实验设计 |
| 课程来源: | 视频讲座网 |
| 数据采集: | 2025-04-07：zsp |
| 最后编审: | 2025-04-07：zsp |
| 阅读次数: | 9 |