Stepwise regression predicts Arctic sea-ice extent with high accuracy

Under the influence of global warming, the Arctic is transitioning from a state dominated by multi-year thick ice to a "New ...
IEEE

Efficient Algorithms for Estimating the Parameters of Mixed Linear Regression Models

Abstract: Mixed linear regression (MLR) models nonlinear data as a mixture of linear components. When noise is Gaussian, the Expectation-Maximization (EM) algorithm is commonly used for maximum ...
GitHub

Salary_prediction using Linear_Regression

This is a machine learning-based web application built with Flask that predicts the estimated salary of an individual based on their: Years of Experience Education Level Location Previous Salary The ...
Frontiers

Distributed quantile regression over sensor networks via the primal–dual hybrid gradient algorithm

As one of the important statistical methods, quantile regression (QR) extends traditional regression analysis. In QR, various quantiles of the response variable are modeled as linear functions of the ...
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Scientific Research Publishing

Xiang, Y., Jia, Y., Chen, L., Guo, L., Shu, B. and Long, E. (2021) COVID-19 Epidemic Prediction and the Impact of Public Health Interventions: A Review of COVID-19 Epidemic ...

ABSTRACT: 1st cases of COVID-19 were reported in March 2020 in Bangladesh and rapidly increased daily. So many steps were taken by the Bangladesh government to reduce the outbreak of COVID-19, such as ...
Scientific Research Publishing

Rahimov, N. and Dilmurod, K. (2015) The Application of Multiple Linear Regression Algorithm and Python for Crop Yield Prediction in Agriculture. Harvard Educational and ...

ABSTRACT: Burundi faces major agricultural constraints, including land fragmentation, soil erosion, limited access to inputs, inadequate infrastructure and demographic pressures that exacerbate food ...
Visual Studio Magazine

AdaBoost Regression Using C#

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the AdaBoost.R2 algorithm for regression problems (where the goal is to predict a single numeric value). The ...