14 citations · 14 across the 1 of their papers we have counts for
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cs.AI2014
Most Relevant Explanation in Bayesian Networks
Changhe Yuan, Heejin Lim, Tsai-Ching Lu
A major inference task in Bayesian networks is explaining why some variables are observed in their particular states using a set of target variables. Existing methods for solving t…
cs.AI2012★ 14 cited
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…