来自MSN

Building multivariate linear regression in C++ — no libraries, just code

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 ...
Visual Studio Magazine

Kernel Ridge Regression with Cholesky Inverse Training Using JavaScript

Kernel ridge regression (KRR) is a regression technique for predicting a single numeric value and can deliver high accuracy for complex, non-linear data. KRR combines a kernel function (most commonly ...
Visual Studio Magazine

Linear Regression Using JavaScript

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, ...
Scientific Research Publishing

Aalen, O.O. (1989) A Linear Regression Model for the Analysis of Life Times. Statistics in ...

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 ...
Frontiers

Use of the linear regression method to evaluate population accuracy of predictions from non ...

1 Department of Animal Sciences, University of Florida, Gainesville, FL, United States 2 Department of Animal Science, Iowa State University, Ames, IA, United States Background: To address the ...
Oak Ridge National Lab

PDMATLAB2D: A Peridynamics MATLAB Two-dimensional Code

PDMATLAB2D is a meshfree peridynamics implementation in MATLAB suitable for simulation of two-dimensional fracture problems. The purpose of this code is twofold. First, it provides an entry-level ...