12 citations · 17 across the 10 of their papers we have counts for
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stat.ML2016
A Birth and Death Process for Bayesian Network Structure Inference
D. Jennings, J. N. Corcoran
Bayesian networks (BNs) are graphical models that are useful for representing high-dimensional probability distributions. There has been a great deal of interest in recent years in…
stat.ML2014★ 5 cited
An Efficient Search Strategy for Aggregation and Discretization of Attributes of Bayesian Networks Using Minimum Description Length
Jem Corcoran, Daniel Tran, Nicholas Levine
Bayesian networks are convenient graphical expressions for high dimensional probability distributions representing complex relationships between a large number of random variables.…