“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第18行： | 第18行： | ||
| 2016/07/ ||Dong Wang || Unsupervised learning || | | 2016/07/ ||Dong Wang || Unsupervised learning || | ||
|- | |- | ||
| − | | 2016/07/ ||Caixia Wang || Kernel methods || | + | | 2016/07/ ||Caixia Wang || Kernel methods || http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/文件:Kernel_Methods_for_Pattern_Analysis.pdf Kernel methods] |
|- | |- | ||
| 2016/07/ ||Dong Wang || Probabilistic learning theory|| | | 2016/07/ ||Dong Wang || Probabilistic learning theory|| | ||
2016年7月6日 (三) 02:53的版本
- Location: FIT-1-304
| Date | Speaker | Title | Materials |
|---|---|---|---|
| 2016/07/04 | Dong Wang | Machine learning overview | slidesAlgebra review probability review Gaussian distributionLearning theory |
| 2016/07/05 | Dong Wang | Linear models | slides NG's lecture 1 NG's lecture 2 |
| 2016/07/ | Dong Wang | Neural networks | |
| 2016/07/ | Dong Wang | Deep learning (1) | |
| 2016/07/ | Dong Wang | Deep learning (2) | |
| 2016/07/ | Dong Wang | Unsupervised learning | |
| 2016/07/ | Caixia Wang | Kernel methods | http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/文件:Kernel_Methods_for_Pattern_Analysis.pdf Kernel methods] |
| 2016/07/ | Dong Wang | Probabilistic learning theory | |
| 2016/07/ | Yang Feng | Graphical model: Bayesian approach | |
| 2016/07/ | Yang Feng | Graphical model: Random field | |
| 2016/07/ | Dong Wang | No parametric models | Gaussian process |
| 2016/07/ | Dong Wang | Reinforcement learning | |
| 2016/07/ | Maoning Wang | Evolutionary learning | |
| 2016/07/ | Dong Wang | Optimization | Convex optimization I Convex optimization II |
