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

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| 2016/07/    ||Dong Wang  || Unsupervised learning ||  
 
| 2016/07/    ||Dong Wang  || Unsupervised learning ||  
 
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| 2016/07/    ||Caixia Wang  || Kernel methods ||  [http://cslt.riit.tsinghua.edu.cn/mediawiki/images/b/b5/Kernel_Methods_for_Pattern_Analysis.pdf Kernel method book]
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| 2016/07/    ||Caixia Wang  || Kernel methods ||  [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/    ||Dong Wang  || Probabilistic learning theory||
 
| 2016/07/    ||Dong Wang  || Probabilistic learning theory||

2016年7月6日 (三) 08:29的版本

  • Location: FIT-1-304


Date Speaker Title Materials
2016/07/04 Dong Wang Machine learning overview slidesAlgebra review probability review Gaussian distributionLearning theory
2016/07/05 Dong Wang Linear models slides NG's lecture 1 NG's lecture 2
2016/07/ Dong Wang Neural networks
2016/07/ Dong Wang Deep learning (1)
2016/07/ Dong Wang Deep learning (2)
2016/07/ Dong Wang Unsupervised learning
2016/07/ Caixia Wang Kernel methods Kernel method book pattern recognition 6-7
2016/07/ Dong Wang Probabilistic learning theory
2016/07/ Yang Feng Graphical model: Bayesian approach
2016/07/ Yang Feng Graphical model: Random field
2016/07/ Dong Wang No parametric models Gaussian process
2016/07/ Dong Wang Reinforcement learning
2016/07/ Maoning Wang Evolutionary learning
2016/07/ Dong Wang Optimization Convex optimization I Convex optimization II