Jan 23, 2005 
15 videos 
Machine Learning Summer School (MLSS), Canberra 2005
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.
Lectures
Generalized Principal Component Analysis (GPCA)
Feb 25, 2007 19428 views
Machine Learning for Games
Feb 25, 2007 16281 views
How to predict with Bayes, MDL, and Experts
Feb 25, 2007 7652 views
Bioinformatics Challenge: Learning in Very High Dimensions with Very Few Samples
Feb 25, 2007 7494 views
Exponential Families in Feature Space - Part 5
Feb 25, 2007 4069 views
Exponential Families in Feature Space
Feb 25, 2007 7683 views
Text Categorization
Feb 25, 2007 5747 views
Independent Component Analysis
Feb 25, 2007 73391 views
Gradient Methods for Machine Learning
Feb 25, 2007 10035 views
Probabilistic Graphical Models
Feb 25, 2007 154208 views
Reinforcement Learning
Feb 25, 2007 7243 views
MarkusSparse Grid Methods
Feb 25, 2007 6398 views
Graph Matching Algorithms
Feb 25, 2007 20406 views
Exponential Families in Feature Space - Part 6
Feb 25, 2007 4064 views
Kernel Methods for Higher Order Image Statistics
Feb 25, 2007 11208 views