@article{Yuan_Chen_Wang_Nie_Jing_2018, title={Discriminative Semi-Supervised Feature Selection via Rescaled Least Squares Regression-Supplement}, volume={32}, url={https://ojs.aaai.org/index.php/AAAI/article/view/12177}, DOI={10.1609/aaai.v32i1.12177}, abstractNote={ <p> In this paper, we propose a Discriminative Semi-Supervised Feature Selection (DSSFS) method. In this method, a ε-dragging technique is introduced to the Rescaled Linear Square Regression in order to enlarge the distances between different classes. An iterative method is proposed to simultaneously learn the regression coefficients, ε-draggings matrix and predicting the unknown class labels. Experimental results show the superiority of DSSFS. </p> }, number={1}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Yuan, Guowen and Chen, Xiaojun and Wang, Chen and Nie, Feiping and Jing, Liping}, year={2018}, month={Apr.} }