A Non-Intrusive Correction Algorithm for Classification Problems with Corrupted Data

Jun Hou, Tong Qin, Kailiang Wu +1

A novel correction algorithm is proposed for multi-class classification problems with corrupted training data. The algorithm is non-intrusive, in the sense that it post-processes a…