“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/    ||Yang Feng  || Graphical model: Bayesian approach || Jingyi Lin ||
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| 2016/07/18   ||Yang Feng  || Graphical model: Bayesian approach || Jingyi Lin ||
 
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| 2016/07/    ||Yang Feng  || Graphical model: Random field || Ying Shi ||
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| 2016/07/19   ||Yang Feng  || Graphical model: Random field || Ying Shi ||
 
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| 2016/07/    ||Dong Wang  || Unsupervised learning || ||
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| 2016/07/21   ||Dong Wang  || Unsupervised learning || ||
 
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| 2016/07/    ||Dong Wang  || Non parametric models || Maoning Wang || [http://cs229.stanford.edu/section/cs229-gaussian_processes.pdf Gaussian process]
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| 2016/07/22   ||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 || Chao Xing ||
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| 2016/07/25   ||Dong Wang  || Reinforcement learning || Chao Xing ||
 
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| 2016/07/    ||Maoning Wang  || Evolutionary learning || ||
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| 2016/07/26   ||Maoning Wang  || Evolutionary learning || ||
 
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| 2016/07/    ||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]
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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]
 
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2016年7月14日 (四) 09:29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
2016/07/18 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
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 Convex optimization I Convex optimization II
取自“http://cslt.org/mediawiki/index.php?title=2016_Summer_Seminar_for_Machine_learning&oldid=21115”