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
Generalized Principal Component Analysis (GPCA)
Feb 25, 2007
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19421 views
Machine Learning for Games
Feb 25, 2007
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16275 views
How to predict with Bayes, MDL, and Experts
Feb 25, 2007
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7571 views
Bioinformatics Challenge: Learning in Very High Dimensions with Very Few Samples
Feb 25, 2007
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7488 views
Exponential Families in Feature Space - Part 5
Feb 25, 2007
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4060 views
Exponential Families in Feature Space
Feb 25, 2007
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7679 views
Text Categorization
Feb 25, 2007
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5747 views
Independent Component Analysis
Feb 25, 2007
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73355 views
Gradient Methods for Machine Learning
Feb 25, 2007
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10008 views
Probabilistic Graphical Models
Feb 25, 2007
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154208 views
Reinforcement Learning
Feb 25, 2007
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7233 views
MarkusSparse Grid Methods
Feb 25, 2007
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6398 views
Graph Matching Algorithms
Feb 25, 2007
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20393 views
Exponential Families in Feature Space - Part 6
Feb 25, 2007
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4057 views
Kernel Methods for Higher Order Image Statistics
Feb 25, 2007
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11208 views