Generalized Inverse Classification
Published in Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), 2017
Recommended citation: M.T. Lash, Q. Lin, W.N. Street, J.G. Robinson and J. Ohlmann, Generalized Inverse Classification, in Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), pp. 162-170, 2017. http://michael-lash.github.io/files/lash_sdm_2017.pdf
We propose an updated optimization methodology to generalize the inverse classification involving only very minor assupmtions. The proposed method and framework can be used with virtually any classifier.
Recommended citation: M.T. Lash, Q. Lin, W.N. Street, J.G. Robinson and J. Ohlmann, Generalized Inverse Classification, in Proceedings of the 2017 SIAM International Conference on Data Mining (SDM), pp. 162-170, 2017.