Objective To examine whether a multicomponent commercial fitness app with very small (‘micro’) financial incentives (FI) ...

Introduction Armed conflict severely impacts health, with indirect deaths often exceeding direct casualties two to four times ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

This C library provides efficient implementations of linear regression algorithms, including support for stochastic gradient descent (SGD) and data normalization techniques. It is designed for easy ...

FAYETTEVILLE, Ark. — Arkansas coach Sam Pittman and protégé Eric Mateos are synonymous with solid offensive line play. There was an obvious shift in protection the final four games compared to the ...

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 ...

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 ...

Abstract: Technology is developing rapidly, and one of the impacts felt from technology is the use of social media. Social media has become an inseparable part of people's lives. In the use of social ...