Universal Modeling: Introduction to modern MDL

author: Peter Grünwald, Center for Mathematics and Computer Science (CWI)
published: Feb. 25, 2007,   recorded: August 2003,   views: 1017
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Description

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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