“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
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| 2016/07/18 ||Yang Feng || Graphical model (1) ||Jingyi Lin; Ying Shi; Yang Wang|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/dd/Chpt7._Graphical_models-bayesian_approach.pdf slides] [http://arch.cslt.org/video/2016/sum-ML/lesson7_Graphical_model.m4v video] | | 2016/07/18 ||Yang Feng || Graphical model (1) ||Jingyi Lin; Ying Shi; Yang Wang|| [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/dd/Chpt7._Graphical_models-bayesian_approach.pdf slides] [http://arch.cslt.org/video/2016/sum-ML/lesson7_Graphical_model.m4v video] | ||
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| − | | 2016/07/21 ||Dong Wang || Graphical model (2) ||Jingyi Lin; Ying Shi; Yang Wang||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt8.%20Graphical%20models-2.pptx slides] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/Graphical%20models-learningInference.pptx Yang's slides] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/GraphicalModel_Jordan.pdf Jordan's lecture] | + | | 2016/07/21 ||Dong Wang || Graphical model (2) ||Jingyi Lin; Ying Shi; Yang Wang||[http://wangd.cslt.org/talks/seminar/2016-sum-ml/chpt8.%20Graphical%20models-2.pptx slides] [http://arch.cslt.org/video/2016/sum-ML/lesson8-1_Graphical_model.m4v video(part 1)] [http://arch.cslt.org/video/2016/sum-ML/lesson8-2_Graphical_model.m4v video(part 2)] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/Graphical%20models-learningInference.pptx Yang's slides] [http://wangd.cslt.org/talks/seminar/2016-sum-ml/chapt8/GraphicalModel_Jordan.pdf Jordan's lecture] |
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| 2016/07/25 ||Dong Wang || Unsupervised learning || || | | 2016/07/25 ||Dong Wang || Unsupervised learning || || | ||
2016年7月25日 (一) 03:10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 | slidesvideo(part 1) video(part 2) NG's lecture 1 NG's lecture 2 |
| 2016/07/08 | Dong Wang | Neural networks | 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; | 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 | ||
| 2016/07/26 | Dong Wang | Non parametric models | Maoning Wang; | Gaussian process |
| 2016/07/27 | Dong Wang | Reinforcement learning | ||
| 2016/07/28 | Maoning Wang | Evolutionary learning | Maoning Wang; | |
| 2016/07/29 | Dong Wang | Optimization | Caixia; | Convex optimization I Convex optimization II |
