图 书 馆
通过凸二元性统一发散最小化和统计推断Unifying Divergence Minimization and Statistical Inference via Convex Duality |
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| 课程网址: | http://videolectures.net/mlss06tw_smola_udmsi/ |
| 主讲教师: | Alexander J. Smola |
| 开课单位: | 亚马逊公司 |
| 开课时间: | 2007-02-25 |
| 课程语种: | 英语 |
| 中文简介: |  |
| 课程简介: | We unify divergence minimization and statistical inference by means of convex duality. In the process of doing so, we prove that the dual of approximate maximum entropy estimation is maximum a posteriori estimation. Moreover, our treatment leads to stability and convergence bounds for many statistical learning problems. |
| 关 键 词: | 凸二元性; 统计推断; 对偶 |
| 课程来源: | 视频讲座网 |
| 最后编审: | 2020-01-13：chenxin |
| 阅读次数: | 53 |