33 citations · 36 across the 3 of their papers we have counts for
3 papers
nucl-th2026
Multi-task deep neural network for predicting both nuclear fission yields and their experimental errors in peak-shaped data
Maomi Ueno, Enbo Zhang, Kazuma Fuchimoto +3
The fission product yield (FPY) is crucially important information for numerous nuclear applications. However, the peak-shaped characteristics of FPY data present important challen…
cs.LG2012★ 33 cited
Learning networks determined by the ratio of prior and data
Maomi Ueno
Recent reports have described that the equivalent sample size (ESS) in a Dirichlet prior plays an important role in learning Bayesian networks. This paper provides an asymptotic an…
cs.LG2012★ 3 cited
Robust learning Bayesian networks for prior belief
Maomi Ueno
Recent reports have described that learning Bayesian networks are highly sensitive to the chosen equivalent sample size (ESS) in the Bayesian Dirichlet equivalence uniform (BDeu).…