Machine Learning Summer School (MLSS), Tübingen 2003

Machine Learning Summer School (MLSS), Tübingen 2003

16 Lectures · Aug 3, 2003

About

Machine Learning is a foundational discipline of the Information Sciences. It combines deep theory from areas as diverse as Statistics, Mathematics, Engineering, and Information Technology with many practical and relevant real life applications.

The aim of the summer school is to cover the entire spectrum from theory to practice. It is mainly targeted at research students, IT professionals, and academics from all over the world.

//Disclaimer:// VideoLectures.NET emphasizes that we are not authors of these videos and we are not taking responsibility for the low quality of these videos. They were uploaded due to their content value in the scientific field of Computer Science and published with the permission of the organizers.

Related categories

Uploaded videos:

Lectures

video-img
02:53:47

Monte Carlo Simulation methods

Christophe Andrieu

Feb 25, 2007

 · 

11753 Views

Lecture
video-img
05:18:05

Statistical Learning Theory

Olivier Bousquet

Feb 25, 2007

 · 

31634 Views

Lecture
video-img
05:35:17

Independent Component Analysis

Jean-François Cardoso

Feb 25, 2007

 · 

27364 Views

Lecture
04:22:31

Gaussian Processes

Carl Edward Rasmussen

Feb 25, 2007

 · 

20182 Views

Lecture
video-img
03:17:48

Bioinformatics

Pierre Baldi

Feb 25, 2007

 · 

10712 Views

Lecture
02:30:41

Stochastic Learning

Léon Bottou

Feb 25, 2007

 · 

14807 Views

Lecture
03:31:13

Concentration Inequalities with Machine Learning Applications

Stéphane Boucheron

Feb 25, 2007

 · 

7935 Views

Lecture
video-img
02:54:37

Some Mathematical Tools for Machine Learning

Chris Burges

Feb 25, 2007

 · 

37555 Views

Lecture
video-img
03:04:09

Universal Modeling: Introduction to modern MDL

Peter Grünwald

Feb 25, 2007

 · 

10611 Views

Lecture
02:13:31

Information Retrieval and Language Technology

Thorsten Joachims

Feb 25, 2007

 · 

10527 Views

Lecture
02:42:49

Foundations of Learning

Steve Smale

Feb 25, 2007

 · 

7675 Views

Lecture
video-img
04:11:41

Unsupervised Learning with Kernels

Alex Smola

Feb 25, 2007

 · 

8401 Views

Lecture
video-img
03:13:52

Bayesian Inference: Principles and Practice

Mike Tipping

Feb 25, 2007

 · 

26818 Views

Lecture
video-img
02:11:43

An Introduction to Pattern Classification

Elad Yom Tov

Feb 25, 2007

 · 

26645 Views

Lecture
video-img
01:12:00

Empirical Inference

Vladimir Vapnik

Feb 25, 2007

 · 

10395 Views

Lecture
35:01

Analysis of Support Vector Machine Classification

Ding-Xuan Zhou

Feb 25, 2007

 · 

8052 Views

Lecture