Location: EU Supported » PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning » Machine Learning Summer School (MLSS), Tübingen 2007

Statistical learning theory

author: Olivier Bousquet, Google, Inc.
published: Aug. 27, 2007,   recorded: August 2007,   views: 13879
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Description

- Learning Theory: Foundations and Goals
- Learning Bounds: Ingredients and Results
- Implications: What to conclude from bounds

See Also:

Download slides icon Download slides: bousquet_olivier_sit_00.pdf (2.3 MB)

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Reviews and comments:

Comment1 Csaba, March 24, 2008 at 5:44 a.m.:

In the second part the slides are constantly switching between the current slide and one of the first slides. Pretty annoying.

Comment2 Emanuele, August 8, 2009 at 3:30 p.m.:

You can get the full set of slides (360) here:
http://agbs.kyb.tuebingen.mpg.de/wiki...

To videolectures.net: please update the slides you distribute. They are just partial (133) and cover only part 1 and 2.

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