Thus the total number of structural errors is higher with bias corrected scoring functions than with DPSM with ?? = 0.1.Our experimental results suggest that when data is limited, promiscuous scoring functions (such as DPSM with ?? < 1) are very effective when combined with Bayesian bagging over a sufficiently large number of bootstrap resamples.