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Machine Learning, Support Vector Machines, and Large Scale Optimization Workshop 2005 - Thurnau

Tricks of the trade for training SVMs

author:Gökhan H. Bakir, Max Planck Institute for Biological Cybernetics, Max Planck Institute
published: Feb. 25, 2007, recorded: March 2005, views: 189

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Top » Computer Science » Machine Learning » Kernel Methods » Support Vector Machines

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Slides

Slides
0:02	Tricks of the trade for training SVMs
0:31	Overview
2:19	SVM can not watch TV.
3:28	Problem Statement
5:21	Overview
5:33	Linear SVM in the primal
7:08	Linear SVM in the primal
9:10	Linear SVM in the primal
9:30	Linear SVM in the primal
10:09	Linear SVM in the primal
10:34	Non-linear SVMs
11:45	Complexity
12:54	Trick
14:29	Trick
17:01	Trick
19:48	Trick
21:41	Greedy choice of the subset
22:57	Greedy choice of the subset
26:10	Greedy choice of the subset
26:17	Greedy choice of the subset
27:57	Greedy choice of the subset
29:11	Multiclass experiment
30:21	Overview
30:49	Where do we spend our money in the dual formulation?
31:33	Where do we spend our money in the dual formulation?
33:25	Where do we spend our money in the dual formulation?
35:01	Where do we spend our money in the dual formulation?
35:33	Select patterns
35:54	Condensation and Editing
37:23	Cross-Training
39:14	Cross-Training
40:03	But.... we lost control!
41:03	Current Quests and Spinoff
43:19	Overview
43:35	Conjectures – Lynching the speaker is prohibited
44:50	If someone puts a gun
45:41	SON
45:49	References

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