Machine Learning Summer School 2006 - Taipei

Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Kernel

author: Jean-Philippe Vert, Ecole des Mines de Paris - Paris Tech

Categories

Top: Computer Science: Machine Learning: Kernel Methods
Top: Computer Science: Machine Learning: Gaussian Processes

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*Slides*
0:00	Regularization of Kernel Methods by Decreasing the Bandwidth of the Gaussian Kernel
1:12	Outline
1:25	Gaussian kernel and RKHS
2:47	Gaussian kernel and RKHS 01
3:11	Gaussian RKHS
4:47	Learning in Gaussian RKHS
6:04	Motivation 1: The effect of regularization
14:37	Motivation 1: The effect of regularization 01
16:17	Motivation 2: One-class SVM
21:37	Outline
21:57	Setting and notations
23:44	Intuitive behavior
25:15	Intuitive behavior 01
25:55	Main result: consistency
27:02	Main result: consistency 01
27:36	Main result: asymptotic shape
28:01	Main result: asymptotic shape 01
28:27	Application: two-class SVM
29:17	Application: two-class SVM 01
29:18	Application: one-class SVM
30:41	Conclusion

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