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.
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Lectures
Monte Carlo Simulation methods
Feb 25, 2007
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11753 Views
Statistical Learning Theory
Feb 25, 2007
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31634 Views
Independent Component Analysis
Feb 25, 2007
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27364 Views
Gaussian Processes
Feb 25, 2007
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20182 Views
Bioinformatics
Feb 25, 2007
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10712 Views
Stochastic Learning
Feb 25, 2007
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14807 Views
Concentration Inequalities with Machine Learning Applications
Feb 25, 2007
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7935 Views
Some Mathematical Tools for Machine Learning
Feb 25, 2007
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37555 Views
Universal Modeling: Introduction to modern MDL
Feb 25, 2007
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10611 Views
Information Retrieval and Language Technology
Feb 25, 2007
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10527 Views
Foundations of Learning
Feb 25, 2007
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7675 Views
Unsupervised Learning with Kernels
Feb 25, 2007
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8401 Views
Bayesian Inference: Principles and Practice
Feb 25, 2007
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26818 Views
An Introduction to Pattern Classification
Feb 25, 2007
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26645 Views
Empirical Inference
Feb 25, 2007
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10395 Views
Analysis of Support Vector Machine Classification
Feb 25, 2007
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8052 Views