Implementation of a simple linear regression algorithm in MAMBA MAMBA is a special language from the SCALE-MAMBA library. The algorithm is an adapted version of the one here.

Linear Regression is one of the most simple Machine learning algorithm that comes under Supervised Learning technique and used for solving regression problems. It is used for predicting the continuous ...

Multi-variate linear regression is one of the most popular supervised machine learning algorithms that is used to find a linear relation between independent variables and a single dependent variable.

smart pulsing strategy is proposed for practical implementation of synaptic weight updates that can accelerate training in real crossbar architectures. Stochastic multi-variable linear regression ...

Instead, the nonlinear regression algorithms implement some kind of iterative minimization process, often some variation on the method of steepest descent.

We introduce a randomized algorithm for overdetermined linear least-squares regression. Given an arbitrary full-rank m × n matrix A with m ≥ n, any m × 1 vector b, and any positive real number ε, t ...

This article provides a fast algorithm for overdetermined linear least-squares regression. If the matrices A and A * from the regression involving ‖ Ax − b ‖ can be applied sufficiently rapidly to ...