1 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.LG2016★ 1 cited
Statistical comparison of classifiers through Bayesian hierarchical modelling
Giorgio Corani, Alessio Benavoli, Janez Demšar +2
Usually one compares the accuracy of two competing classifiers via null hypothesis significance tests (nhst). Yet the nhst tests suffer from important shortcomings, which can be ov…
stat.ME2014★ 1 cited
Credal Model Averaging for classification: representing prior ignorance and expert opinions
Giorgio Corani, Andrea Mignatti
Bayesian model averaging (BMA) is the state of the art approach for overcoming model uncertainty. Yet, especially on small data sets, the results yielded by BMA might be sensitive…