“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第20行： | 第20行： | ||
| 2016/07/ ||Yang Feng || Graphical model: Bayesian approach || Jingyi Lin || | | 2016/07/ ||Yang Feng || Graphical model: Bayesian approach || Jingyi Lin || | ||
|- | |- | ||
| − | | 2016/07/ ||Yang Feng || Graphical model: Random field || || | + | | 2016/07/ ||Yang Feng || Graphical model: Random field || Ying Shi || |
|- | |- | ||
| 2016/07/ ||Dong Wang || Unsupervised learning || || | | 2016/07/ ||Dong Wang || Unsupervised learning || || | ||
2016年7月14日 (四) 03:10的版本
- Location: FIT-1-304
| Date | Speaker | Title | Owner | Materials |
|---|---|---|---|---|
| 2016/07/04 | Dong Wang | Machine learning overview | slidesvideo(part 2)Algebra review probability review Gaussian distributionLearning theory | |
| 2016/07/05 | Dong Wang | Linear models | Aodong Li | slides NG's lecture 1 NG's lecture 2 |
| 2016/07/08 | Dong Wang | Neural networks | Jiyuan Zhang | slides |
| 2016/07/11 | Dong Wang | Deep learning (1) | Caixia Wang Zhiyuan Tang | slides NIPS 2015 tutorial |
| 2016/07/12 | Dong Wang | Deep learning (2) | Caixia Wang Zhiyuan Tang | slides Li Deng's ICASSP16 keynote |
| 2016/07/13 | Caixia Wang | Kernel methods | Ziwei Bai | slides Kernel method book pattern recognition 6-7 |
| 2016/07/ | Yang Feng | Graphical model: Bayesian approach | Jingyi Lin | |
| 2016/07/ | Yang Feng | Graphical model: Random field | Ying Shi | |
| 2016/07/ | Dong Wang | Unsupervised learning | ||
| 2016/07/ | Dong Wang | Non 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 |
