Machine Learning Summer School 2004 - Berder Island

Learning and Regularization Using non Positive Kernels

author: Stephan Canu, National Institute of Applied Sciences

Categories

Top: Computer Science: Machine Learning: Kernel Methods

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*Slides*
0:17	Lecture 1: Functional aspects of learning the case of interpolation
0:59	Appetizer...directional derivative
3:40	Appetizer...directional derivative.
7:28	Appetizer...evaluation functional
13:42	Appetizer...evaluation functional.
14:59	Road map
17:36	An example of interpolation splines
22:33	An example of interpolation splines.
25:36	The correct functional setup
29:16	The correct functional setup.
32:17	Summarize the spline example
35:32	Summarize the spline example.
35:59	The interpolation problem
36:07	Representer theorem for the M.N.I.P.
36:07	The use of the eigen structure
36:08	Summarize the M.N.I.P.
36:10	The interpolation problem.

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