“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
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| 2016/07/ ||Dong Wang || Non parametric models || Maoning Wang || [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] | | 2016/07/ ||Dong Wang || Non parametric models || Maoning Wang || [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] | ||
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| − | | 2016/07/ ||Dong Wang || Reinforcement learning || || | + | | 2016/07/ ||Dong Wang || Reinforcement learning || Chao Xing || |
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| 2016/07/ ||Maoning Wang || Evolutionary learning || || | | 2016/07/ ||Maoning Wang || Evolutionary learning || || | ||
2016年7月14日 (四) 06:11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) | Zhiyuan Caixia | slides NIPS 2015 tutorial |
| 2016/07/12 | Dong Wang | Deep learning (2) | Zhiyuan Caixia | 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 | Maoning Wang | Gaussian process |
| 2016/07/ | Dong Wang | Reinforcement learning | Chao Xing | |
| 2016/07/ | Maoning Wang | Evolutionary learning | ||
| 2016/07/ | Dong Wang | Optimization | Convex optimization I Convex optimization II |
