Before revision:  Recent developments in the machine learning literature have suggested new criteria for hierarchical learning , based on approximation theoretic considerations that can be interpreted as variants of cross-validation, and exploiting approximation consistency in data splitting .
After revision:  Recent developments in the machine learning literature have suggested new criteria for hierarchical learning and inverse problems .