46 citations · 76 across the 8 of their papers we have counts for
9 papers
Causal KL: Evaluating Causal Discovery
Rodney T. O'Donnell, Kevin B. Korb, Lloyd Allison
The two most commonly used criteria for assessing causal model discovery with artificial data are edit-distance and Kullback-Leibler divergence, measured from the true model to the…
Markov Blanket Discovery using Minimum Message Length
Yang Li, Kevin B Korb, Lloyd Allison
Causal discovery automates the learning of causal Bayesian networks from data and has been of active interest from their beginning. With the sourcing of large data sets off the int…
BARD: A structured technique for group elicitation of Bayesian networks to support analytic reasoning
Ann E. Nicholson, Kevin B. Korb, Erik P. Nyberg +13
In many complex, real-world situations, problem solving and decision making require effective reasoning about causation and uncertainty. However, human reasoning in these cases is…
Proving the NP-completeness of optimal moral graph triangulation
Yang Li, Lloyd Allison, Kevin Korb
Moral graphs were introduced in the 1980s as an intermediate step when transforming a Bayesian network to a junction tree, on which exact belief propagation can be efficiently done…
The Complexity of Morality: Checking Markov Blanket Consistency with DAGs via Morality
Yang Li, Kevin Korb, Lloyd Allison
A family of Markov blankets in a faithful Bayesian network satisfies the symmetry and consistency properties. In this paper, we draw a bijection between families of consistent Mark…
Latent Variable Discovery Using Dependency Patterns
Xuhui Zhang, Kevin B. Korb, Ann E. Nicholson +1
The causal discovery of Bayesian networks is an active and important research area, and it is based upon searching the space of causal models for those which can best explain a pat…