“2016 Summer Seminar for Machine learning”版本间的差异
来自cslt Wiki
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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 || | + | | 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 || | + | | 2016/07/19 ||Yang Feng || Graphical model: Random field || Ying Shi || |
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− | | 2016/07/ ||Dong Wang || Unsupervised learning || || | + | | 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] | + | | 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 || | + | | 2016/07/25 ||Dong Wang || Reinforcement learning || Chao Xing || |
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− | | 2016/07/ ||Maoning Wang || Evolutionary learning || || | + | | 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] | + | | 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 |
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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 |