图 书 馆
利用未标记数据进行分类预测学习Utilizing Unlabeled Data for Classification-Prediction Learning |
|
| 课程网址: | http://videolectures.net/wapa2011_ben_david_unlabeled/ |
| 主讲教师: | Shai Ben-David |
| 开课单位: | 滑铁卢大学 |
| 开课时间: | 信息不详。欢迎您在右侧留言补充。 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | In many classi cation learning tasks, labeled data may be expensive or scarce. At the same time, unlabeled or \weakly labeled" samples, may be available in abundance. We consider three algorithmic paradigms that utilize unlabeled or \weakly labeled" samples to help classi cation tasks. On top of proposing some meta-algorithms for utilizing such samples, we analyse the sample complexity of these paradigms. We show that in some semi-supervised learning task, as well as in some domain adapta- tion and query learning tasks, unlabeled samples can be applied to provably achieve saving in the sizes of required labeled samples. |
| 关 键 词: | 计算机科学; 机器学习; 分类; 半监督学习 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-10-29：cwx |
| 阅读次数: | 51 |