288 citations · 346 across the 3 of their papers we have counts for
3 papers
cs.LG2013★ 20 cited
Minimum Encoding Approaches for Predictive Modeling
Peter D Grunwald, Petri Kontkanen, Petri Myllymaki +2
We analyze differences between two information-theoretically motivated approaches to statistical inference and model selection: the Minimum Description Length (MDL) principle, and…
cs.LG2013★ 38 cited
On Supervised Selection of Bayesian Networks
Petri Kontkanen, Petri Myllymaki, Tomi Silander +1
Given a set of possible models (e.g., Bayesian network structures) and a data sample, in the unsupervised model selection problem the task is to choose the most accurate model with…
cs.AI2012★ 288 cited
A simple approach for finding the globally optimal Bayesian network structure
Tomi Silander, Petri Myllymaki
We study the problem of learning the best Bayesian network structure with respect to a decomposable score such as BDe, BIC or AIC. This problem is known to be NP-hard, which means…