Machine Learning Summer School (MLSS), Canberra 2005

Machine Learning Summer School (MLSS), Canberra 2005

15 Videos · Jan 23, 2005

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.

Videos

Lectures

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01:49:01

Generalized Principal Component Analysis (GPCA)

René Vidal

Feb 25, 2007

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19390 views

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05:44:47

Machine Learning for Games

Thore Graepel

Feb 25, 2007

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16252 views

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03:03:31

How to predict with Bayes, MDL, and Experts

Marcus Hutter

Feb 25, 2007

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7559 views

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03:22:36

Bioinformatics Challenge: Learning in Very High Dimensions with Very Few Samples

Adam Kowalczyk

Feb 25, 2007

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7474 views

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47:31

Exponential Families in Feature Space - Part 5

S.V.N. Vishwanathan

Feb 25, 2007

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4054 views

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03:17:29

Exponential Families in Feature Space

Alex Smola

Feb 25, 2007

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7667 views

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Text Categorization

Jon David Patrick

Feb 25, 2007

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5747 views

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05:44:22

Independent Component Analysis

Aapo Hyvärinen

Feb 25, 2007

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73306 views

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03:59:04

Gradient Methods for Machine Learning

Nicol Schraudolph

Feb 25, 2007

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9978 views

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Probabilistic Graphical Models

Sam Roweis

Feb 25, 2007

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154208 views

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01:31:32

Reinforcement Learning

Douglas Aberdeen

Feb 25, 2007

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7224 views

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MarkusSparse Grid Methods

Markus Hegland

Feb 25, 2007

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6398 views

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02:32:26

Graph Matching Algorithms

Terry Caelli

Feb 25, 2007

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20366 views

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59:27

Exponential Families in Feature Space - Part 6

S.V.N. Vishwanathan

Feb 25, 2007

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4040 views

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Kernel Methods for Higher Order Image Statistics

Matthias O. Franz

Feb 25, 2007

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11208 views