图 书 馆
转导回归算法的稳定性Stability of Transductive Regression Algorithms |
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| 课程网址: | http://videolectures.net/icml08_rastogi_stra/ |
| 主讲教师: | Ashish Rastogi |
| 开课单位: | 纽约大学 |
| 开课时间: | 2008-08-01 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | This paper uses the notion of algorithmic stability to derive novel generalization bounds for several families of transductive regression algorithms, both by using convexity and closed-form solutions. Our analysis helps compare the stability of these algorithms. It suggests that several existing algorithms might not be stable but prescribes a technique to make them stable. It also reports the results of experiments with local transductive regression demonstrating the benefit of our stability bounds for model selection, in particular for determining the radius of the local neighborhood used by the algorithm. |
| 关 键 词: | 算法稳定性; 转导回归算法; 稳定性界限 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2019-04-19：lxf |
| 阅读次数: | 74 |