1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2017★ 1 cited
Learning non-parametric Markov networks with mutual information
Janne Leppä-aho, Santeri Räisänen, Xiao Yang +1
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 pre…
cs.LG2016
On the inconsistency of -penalised sparse precision matrix estimation
Otte Heinävaara, Janne Leppä-aho, Jukka Corander +1
Various -penalised estimation methods such as graphical lasso and CLIME are widely used for sparse precision matrix estimation. Many of these methods have been shown to be…