Feb 10, 2002 
10 videos 
Machine Learning Summer School (MLSS), Canberra 2002
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.
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Lectures
Algorithms for Association Rules
Feb 25, 2007 4424 views
Reinforcement Learning
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Boosting
Feb 25, 2007 6556 views
Bayesian Kernel Methods
Feb 25, 2007 8966 views
Support Vector Machines and Kernels
Feb 25, 2007 11682 views
Statistical Learning Theory and Empirical Processes
Feb 25, 2007 7485 views
A Unified Approach to Deduction and Induction
Feb 25, 2007 8366 views
Learning from Structured Data
Feb 25, 2007 3490 views
Online Learning and Bregmann Divergences
Feb 25, 2007 5615 views
Online Loss Bounds
Feb 25, 2007 3090 views