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转移学习没有免费午餐定理No-Free-Lunch Theorems for Transfer Learning |
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| 课程网址: | http://videolectures.net/nipsworkshops09_ben_david_nflt/ |
| 主讲教师: | Shai Ben-David |
| 开课单位: | 滑铁卢大学 |
| 开课时间: | 2010-01-19 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | I will present a formal framework for transfer learning and investigate under which conditions is it possible to provide performance guarantees for such scenarios. I will address two key issues: *1) Which notions of task-similarity suffice to provide meaningful error bounds on a target task, for a predictor trained on a (different) source task? *2) Can we do better than just train a hypothesis on the source task and analyze its performance on the target task? Can the use of unlabeled target samples reduce the target prediction error? |
| 关 键 词: | 转移学习; 目标预测; 预测器 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-09-07：lxf |
| 阅读次数: | 83 |