Label correction strategy is my own algorithm for fixing unusual prediction results from traditional classfiers. This algorithm can be used both in multi-lable and hierarchical multi-label classification problems. This algorithm showed promising results and significantly increased accuracy in most of datasets.
Link to original research paper: http://link.springer.com/chapter/10.1007%2F978-3-319-08979-9_17