Data mining (DM) involves a core algorithm that enables data deeper than basic insights and knowledge. In fact, data …

algorithm. The other advantage of the proposed model lies in adapting the classifier with varying data patterns, which is …

regularization, and an algorithm based on Kernel-weights Optimization (KO). The ERM approaches, equivalent to high …-dimensional quantile regression, can be solved by convex optimization problems and the KO approach by a sorting algorithm. We analytically … benchmark by 23% and 24% respectively in the out-of-sample cost, and (ii) the best KO algorithm is faster than the best ERM …