Learning Chordal Markov Networks by Constraint Satisfaction

Jukka Corander, Tomi Janhunen, Jussi Rintanen +2

We investigate the problem of learning the structure of a Markov network from data. It is shown that the structure of such networks can be described in terms of constraints which e…