Machine Learning Summer School (MLSS), Berder Island 2004

Machine Learning Summer School (MLSS), Berder Island 2004

11 Lectures · Sep 11, 2004

About

The fourth Machine Learning Summer School was held in Berder Island, France between the 12th and the 25th of September, 2004. More than 100 students and researchers from 20 countries interested in Machine Learning attended. This years' summer school presented some of the topics which are at the core of modern Learning Theory. 15 distinguished authorities from the field gave 14 courses in slots from 4 to 8 hours. In addition, many evening talks which were focused on additional topics were presented. There were also three practical sessions organized providing a 'hands-on' experience of working with Machine Learning algorithms.

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Lectures

03:43:43

Introduction to Kernel Methods

Bernhard Schölkopf

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Markov Chain Monte Carlo Methods

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02:57:22

Boosting

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Feb 25, 2007

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01:31:01

Machine Learning Flavor of Random Matrices

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Feb 25, 2007

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04:33:48

Graphical Models and Variational Methods

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02:07:37

Signal Processing

Manuel Davy

Feb 25, 2007

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02:11:05

Machine Learning in Bioinformatics

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03:10:41

Exponential Families in Feature Space

Alex Smola

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02:49:54

Learning and Regularization Using non Positive Kernels

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Feb 25, 2007

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02:43:55

Advanced Statistical Learning Theory

Olivier Bousquet

Feb 25, 2007

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02:57:05

Computer Vision

Andrew Blake

Feb 25, 2007

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