Implementing LRR from scratch is harder than using a library like scikit-learn, but it helps you customize your code, makes it easier to integrate with other systems, and gives you a complete ...

Scaled sparse linear regression jointly estimates the regression coefficients and noise level in a linear model. It chooses an equilibrium with a sparse regression method by iteratively estimating the ...

This article reports the application of the annealing algorithm to the construction of exact D-, I-, and G-optimal designs for polynomial regression of degree 5 on the interval [-1, 1] and for the ...