Molinari, Roberto; Bakalli, Gaetan; Guerrier, Stéphane; … - 2020
Predictive power has always been the main research focus of learning algorithms with the goal of minimizing the test … on sparse learning in order to avoid overfitting which can greatly affect the accuracy of out-of-sample prediction … response whereas even sparse-learning methods can still preserve a high number of attributes in high-dimensional settings and …
