“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
| 第26行： | 第26行： | ||
| 2016/07/26 ||Dong Wang || Non parametric models ||Maoning Wang; || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt10.%20Non-Parametric%20Learning.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson10-1_Nonparameteric_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson10-2_Nonparameteric_model.m4v video(part 2)] [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] [http://stat.columbia.edu/~porbanz/npb-tutorial.html Resource for non-parametric Bayesian] [http://www.gatsby.ucl.ac.uk/~ywteh/research/npbayes/dp.pdf A good tutorial] | | 2016/07/26 ||Dong Wang || Non parametric models ||Maoning Wang; || [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt10.%20Non-Parametric%20Learning.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson10-1_Nonparameteric_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson10-2_Nonparameteric_model.m4v video(part 2)] [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process] [http://stat.columbia.edu/~porbanz/npb-tutorial.html Resource for non-parametric Bayesian] [http://www.gatsby.ucl.ac.uk/~ywteh/research/npbayes/dp.pdf A good tutorial] | ||
|- | |- | ||
| − | | 2016/07/28 ||Maoning Wang || Evolutionary learning ||Maoning Wang; ||[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:EA_%E7%8E%8B%E5%8D%AF%E5%AE%81.pdf] [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Introduction_to_Evolutionary_Computing.pdf] | + | | 2016/07/28 ||Maoning Wang || Evolutionary learning ||Maoning Wang; ||[http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:EA_%E7%8E%8B%E5%8D%AF%E5%AE%81.pdf slides] [http://cslt.riit.tsinghua.edu.cn/mediawiki/index.php/%E6%96%87%E4%BB%B6:Introduction_to_Evolutionary_Computing.pdf] |
|- | |- | ||
| 2016/07/29 ||Dong Wang || Reinforcement learning || Chao Xing || | | 2016/07/29 ||Dong Wang || Reinforcement learning || Chao Xing || | ||
2016年7月28日 (四) 12:01的版本
- Location: FIT-1-304
| Date | Speaker | Title | Owner | Materials |
|---|---|---|---|---|
| 2016/07/04 | Dong Wang | Machine learning overview | Dong Wang | slidesvideo(part 2)Algebra review probability review Gaussian distributionLearning theory |
| 2016/07/05 | Dong Wang | Linear models | Aiting Liu; Aodong Li | slides video(part 1) video(part 2) NG's lecture 1 NG's lecture 2 |
| 2016/07/08 | Dong Wang | Neural networks | Aiting Liu | slides video(part 1) video(part 2) |
| 2016/07/11 | Dong Wang | Deep learning (1) | Hang Luo; Jiyuan Zhang; Zhiyuan | slides video(part 1) video(part 2) NIPS 2015 tutorial |
| 2016/07/12 | Dong Wang | Deep learning (2) | Hang Luo; Jiyuan Zhang; Zhiyuan | slides video(part 1) video(part 2) Li Deng's ICASSP16 keynote |
| 2016/07/13 | Caixia Wang | Kernel methods | Caixia;Ziwei | slides video Kernel method book pattern recognition 6-7 |
| 2016/07/18 | Yang Feng | Graphical model (1) | Jingyi Lin; Ying Shi; Yang Wang | slides video |
| 2016/07/21 | Dong Wang | Graphical model (2) | Jingyi Lin; Ying Shi; Yang Wang | slides video(part 1) video(part 2) Yang's slides Jordan's lecture |
| 2016/07/25 | Dong Wang | Unsupervised learning | slides video(part 1) video(part 2) Unsupervised Learning from Zoubin Ghahramani, Cambridge slides from MIT Neural Networks - A Systematic Introduction, Raul Rojas slides from BU manifold slides from MIT | |
| 2016/07/26 | Dong Wang | Non parametric models | Maoning Wang; | slides video(part 1) video(part 2) Gaussian process Resource for non-parametric Bayesian A good tutorial |
| 2016/07/28 | Maoning Wang | Evolutionary learning | Maoning Wang; | slides [1] |
| 2016/07/29 | Dong Wang | Reinforcement learning | Chao Xing | |
| 2016/08/01 | Dong Wang | Optimization | Caixia; | Convex optimization I Convex optimization II |
