37 citations · 188 across the 16 of their papers we have counts for
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cs.AI2022★ 5 cited
DagSim: Combining DAG-based model structure with unconstrained data types and relations for flexible, transparent, and modularized data simulation
Ghadi S. Al Hajj, Johan Pensar, Geir Kjetil Sandve
Data simulation is fundamental for machine learning and causal inference, as it allows exploration of scenarios and assessment of methods in settings with full control of ground tr…
cs.AI2013★ 18 cited
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…