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Universal Modeling: Introduction to modern MDL
This video was recorded at Machine Learning Summer School (MLSS), Tübingen 2003. We give a tutorial introduction to the *modern* Minimum Description Length (MDL) Principle, taking into account the many refinements and developments that have taken place in the 1990s. These do not seem to be widely known outside the information theory community. We will especially emphasize the use of MDL in classification. We also consider the connections between MDL, Bayesian inference, maximum entropy inference and structural risk minimization.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
