Large Scale Support Vector Machines

author: Chih-Jen Lin, National Taiwan University

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*Slides*
0:00	Large Scale Support Vector Machines
0:38	General Thoughts - 1
2:08	General Thoughts - 2
2:50	General Thoughts - 3
3:58	Claim
4:44	Example: MNIST - 1
5:21	Example: MNIST - 2
5:30	Claim
5:37	Example: MNIST - 2
5:57	Use Differentiable Objective Functions
6:42	SVM Optimization in the Primal
9:23	Truncated Newton - 1
13:36	Truncated Newton - 2
13:51	SVM Optimization in the Primal
14:00	Truncated Newton - 1
14:07	Truncated Newton - 2
15:02	Truncated Newton - 1
15:38	Truncated Newton - 2
16:13	Competition
16:23	Truncated Newton - 1
16:40	Competition
17:18	Caching
17:58	Truncated Newton - 1
18:30	SVM Optimization in the Primal
18:51	Caching
22:22	Sequential Dual Method (SDM SVM L1/L2)
23:33	Implementation Notes
26:26	Two Final Thoughts - 1
27:44	- Questions

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