14 citations · 33 across the 3 of their papers we have counts for
3 papers · 1 filter
Most Relevant Explanation: Properties, Algorithms, and Evaluations
Changhe Yuan, Xiaolu Liu, Tsai-Ching Lu +1
Most Relevant Explanation (MRE) is a method for finding multivariate explanations for given evidence in Bayesian networks [12]. This paper studies the theoretical properties of MRE…
Solving Multistage Influence Diagrams using Branch-and-Bound Search
Changhe Yuan, Xiaojian Wu, Eric A. Hansen
A branch-and-bound approach to solving influ- ence diagrams has been previously proposed in the literature, but appears to have never been implemented and evaluated - apparently du…
Improving the Scalability of Optimal Bayesian Network Learning with External-Memory Frontier Breadth-First Branch and Bound Search
Brandon Malone, Changhe Yuan, Eric A. Hansen +1
Previous work has shown that the problem of learning the optimal structure of a Bayesian network can be formulated as a shortest path finding problem in a graph and solved using A*…