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

2016年7月18日 (一) 05:04的版本

Date	Speaker	Title	Owner	Materials
2016/07/04	Dong Wang	Machine learning overview		slides video(part 2)Algebra review probability review Gaussian distribution Learning 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
2016/07/18	Yang Feng	Graphical model: Bayesian approach	Jingyi Lin
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

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 | 2016/07/26    ||Maoning Wang  || Evolutionary learning || ||
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-| 2016/07/27    ||Dong Wang  || Optimization || || [http://cs229.stanford.edu/section/cs229-cvxopt.pdf Convex optimization I] [http://cs229.stanford.edu/section/cs229-cvxopt.pdf Convex optimization II]
+| 2016/07/27    ||Dong Wang  || Optimization || Aiting Liu || [http://cs229.stanford.edu/section/cs229-cvxopt.pdf Convex optimization I] [http://cs229.stanford.edu/section/cs229-cvxopt.pdf Convex optimization II]
 |-
 |}