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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
Reinforcement Learning
Feb 25, 2007
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6773 Views
Boosting
Feb 25, 2007
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6541 Views
Statistical Learning Theory and Empirical Processes
Feb 25, 2007
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7485 Views
Online Learning and Bregmann Divergences
Feb 25, 2007
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5597 Views
Support Vector Machines and Kernels
Feb 25, 2007
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11682 Views
Bayesian Kernel Methods
Feb 25, 2007
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8946 Views
Algorithms for Association Rules
Feb 25, 2007
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4412 Views
Online Loss Bounds
Feb 25, 2007
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3051 Views
Learning from Structured Data
Feb 25, 2007
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3471 Views
A Unified Approach to Deduction and Induction
Feb 25, 2007
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8352 Views