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

What if artificial intelligence could turn centuries of scientific literature—and just a few lab experiments—into a smarter, ...

A study conducted by experts from the University of the Philippines-Diliman showed that logistic regression is a reliable ...

Abstract: One-shot devices, such as automotive airbags, fire extinguishers and ammunitions, pose significant challenges in their reliability analysis due to their inherently unobservable lifespans.

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

Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...

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

Dr. James McCaffrey presents a complete end-to-end demonstration of decision tree regression from scratch using the C# language. The goal of decision tree regression is to predict a single numeric ...

Abstract: We study active sampling algorithms for linear regression, which aim to query only a small number of entries of a target vector and output a near minimizer to the objective function. For ...

David Martens has received funding from AXA JRI. Sofie Goethals has received funding from the Flemish Research Foundation. When you visit a hospital, artificial intelligence (AI) models can assist ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of k-nearest neighbors regression to predict a single numeric value. Compared to other machine learning ...