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
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Reinforcement Learning
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Boosting
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Bayesian Kernel Methods
Feb 25, 2007 8969 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 8367 views
Learning from Structured Data
Feb 25, 2007 3490 views
Online Learning and Bregmann Divergences
Feb 25, 2007 5617 views
Online Loss Bounds
Feb 25, 2007 3092 views