Teemu Roos

Minimum description length revisited

2019 · International Journal of Mathematics for Industry

This is an up-to-date introduction to and overview of the Minimum Description Length (MDL) Principle, a theory of inductive inference that can be applied to general problems in statistics, machine learning and pattern recognition. While …

Learning non-parametric Markov networks with mutual information

2017 · arXiv (Cornell University)

We propose a method for learning Markov network structures for continuous data without invoking any assumptions about the distribution of the variables. The method makes use of previous work on a non-parametric estimator for mutual …