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A Note on the SP Inference for Large-scale Covariate Regression
A Note on the SP Inference for Large-scale Covariate Regression – We solve large-scale regression problems for which the data are represented by a set of linear functions in a non-convex way. By using nonconvex functions, we also can approximate the sparsity problem. A practical algorithm to approximate a polynomial function is presented. The algorithm […]