Sparse generalized linear model with L 0 approximation for feature selection and prediction with big omics data
Abstract Background Feature selection sofia barclay sexy and prediction are the most important tasks for big data mining.The common strategies for feature selection in big data mining are L 1, SCAD and MC+.However, none of the existing algorithms optimizes L 0, which penalizes the number of nonzero features directly.Results In this paper, we develo