author: David Grangier, IDIAP Research Institute

Categories

Top: Computer Science: Machine Learning: Structured Output

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*Slides*
0:01	Learning to Compare Examples - NIPS’06 Workshop
0:10	Outline
0:56	Distances & Kernels in Machine Learning
1:31	Distances & Kernels in Machine Learning01
2:35	Selecting a Suitable Distance/Kernel
3:13	Selecting a Suitable Distance/Kernel01
3:48	Selecting a Suitable Distance/Kernel02
3:55	Learning the Distance/Kernel from Data
4:02	Learning the Distance/Kernel from Data01
4:25	Learning the Distance/Kernel from Data02
5:02	Learning the Distance/Kernel from Data03
5:33	Learning the Distance/Kernel from Data04
6:04	Learning the Distance/Kernel from Data05
6:34	Learning the Distance/Kernel from Data06
6:43	Learning the Distance/Kernel from Data07
6:53	Learning the Distance/Kernel from Data08
7:20	Learning the Distance/Kernel from Data09
8:02	Learning the Distance/Kernel from Data10
8:43	Learning the Distance/Kernel from Data11
9:44	Learning the Distance/Kernel from Data12
9:57	Open issues in Learning to Compare Examples
13:10	Workshop Overview
14:49	Workshop Overview01
15:14	Workshop Overview02
15:48	Acknowledgments
16:26	Learning to Compare Examples - Morning Session

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