“2016 Summer Seminar for Machine learning”版本间的差异

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| 2016/07/13    ||Caixia Wang  || Kernel methods || Ziwei Bai || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/KM1.pdf slides] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b5/Kernel_Methods_for_Pattern_Analysis.pdf Kernel method book] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/95/Pattern_Recognition_and_Machine_Learning.pdf pattern recognition 6-7]
 
| 2016/07/13    ||Caixia Wang  || Kernel methods || Ziwei Bai || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/0/07/KM1.pdf slides] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b5/Kernel_Methods_for_Pattern_Analysis.pdf Kernel method book] [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/9/95/Pattern_Recognition_and_Machine_Learning.pdf pattern recognition 6-7]
 
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| 2016/07/18    ||Yang Feng  || Graphical model: Bayesian approach || Jingyi Lin ||
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| 2016/07/18    ||Yang Feng  || Graphical model: Bayesian approach || Jingyi Lin || [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/d/dd/Chpt7._Graphical_models-bayesian_approach.pdf slides]
 
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| 2016/07/19    ||Yang Feng  || Graphical model: Random field || Ying Shi ||
 
| 2016/07/19    ||Yang Feng  || Graphical model: Random field || Ying Shi ||

2016年7月18日 (一) 09:32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 Lantian 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
2016/07/18 Yang Feng Graphical model: Bayesian approach Jingyi Lin slides
2016/07/19 Yang Feng Graphical model: Random field Ying Shi
2016/07/21 Dong Wang Unsupervised learning Zhiyong Zhang
2016/07/22 Dong Wang Non parametric models Maoning Wang Gaussian process
2016/07/25 Dong Wang Reinforcement learning Chao Xing
2016/07/26 Maoning Wang Evolutionary learning
2016/07/27 Dong Wang Optimization Aiting Liu Convex optimization I Convex optimization II