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

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| 2016/07/    ||Dong Wang  || Neural networks ||  
 
| 2016/07/    ||Dong Wang  || Neural networks ||  
 
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| 2016/07/    ||Dong Wang  || Deep learning ||  
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| 2016/07/    ||Dong Wang  || Deep learning (1)||  
 
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| 2016/07/    ||Dong Wang  || Kernel methods ||  
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| 2016/07/    ||Dong Wang  || Deep learning (2)||  
 
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| 2016/07/    ||Dong Wang  || Bayesian approach ||  
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| 2016/07/    ||Caixia Wang  || Kernel methods ||
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| 2016/07/    ||Yang Feng  || Graphical model: Bayesian approach ||
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| 2016/07/    ||Yang Feng  || Graphical model: Random field ||  
 
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| 2016/07/    ||Dong Wang  || Unsupervised learning ||  
 
| 2016/07/    ||Dong Wang  || Unsupervised learning ||  
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| 2016/07/    ||Dong Wang  || Reinforcement learning ||  
 
| 2016/07/    ||Dong Wang  || Reinforcement learning ||  
 
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| 2016/07/    ||Dong Wang  || Evolutionary learning ||  
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| 2016/07/    ||Maoning Wang  || Evolutionary learning ||  
 
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2016年7月3日 (日) 10:42的版本

  • Location: FIT-1-304


Date Speaker Title Materials
2016/07/04 Dong Wang Machine learning overview
2016/07/05 Dong Wang Linear models
2016/07/ Dong Wang Neural networks
2016/07/ Dong Wang Deep learning (1)
2016/07/ Dong Wang Deep learning (2)
2016/07/ Caixia Wang Kernel methods
2016/07/ Yang Feng Graphical model: Bayesian approach
2016/07/ Yang Feng Graphical model: Random field
2016/07/ Dong Wang Unsupervised learning
2016/07/ Dong Wang No parametric models
2016/07/ Dong Wang Reinforcement learning
2016/07/ Maoning Wang Evolutionary learning