Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with pseudo-inverse training implemented using JavaScript. Compared to other training techniques, such as ...
Want to understand how multivariate linear regression really works under the hood? In this video, we build it from scratch in C++—no machine learning libraries, just raw code and linear algebra. Ideal ...
Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression using JavaScript. Linear regression is the simplest machine learning technique to predict a single numeric value, ...
ABSTRACT: There is a set of points in the plane whose elements correspond to the observations that are used to generate a simple least-squares regression line. Each value of the independent variable ...
Remi Lee was born with “medical stuff.” She has caudal regression syndrome, a condition that affects the development of the lower part of a child’s body. It affects one to two out of every 100,000 ...
ABSTRACT: This paper proposes a universal framework for constructing bivariate stochastic processes, going beyond the limitations of copulas and offering a potentially simpler alternative. The ...
In a nutshell: Microsoft, founded by Bill Gates and Paul Allen in April 1975, is celebrating its 50th anniversary this month. To mark the occasion, Gates has released the source code he and Allen ...
% Ref. [1] S. Chapra, "Applied numerical methods with MATLAB", Mc Craw Hill, Singapore (2008). % The linear function of x1 and x2 to be fitted: y(x) = a0 + a1*x1 + a2 ...
% This Matlab code performs a calculation of polynomial regression [1]. % Ref. [1] S. Chapra, "Applied numerical methods with MATLAB", Mc Craw Hill, Singapore (2008). % The second-order polynomial or ...
Abstract: This article introduces a novel concatenated coding scheme called sparse regression LDPC (SR-LDPC) codes. An SR-LDPC code consists of an outer non-binary LDPC code and an inner sparse ...