While differences in feature behaviors between domains will hurt performance (Blitzer et al., 2008;Ben-David et al., 2009), it is not clear if the improvements in MDL algorithms can be attributed to correcting these errors, or whether they are benefiting from something else.
there are many similarities between MDL and ensemble methods, with connections to instance bag-ging, feature bagging and classifier combination.