Understanding how ozone behaves indoors is vital for assessing human health risks, as people spend most of their time inside.

A machine learning random forest regression system predicts a single numeric value. A random forest is an ensemble (collection) of simple decision tree regressors that have been trained on different ...

According to a new study, machine learning can reliably identify patients at high risk of early dysphagia following acute ...

This special report introduces small area estimation as a modern approach for producing reliable, stand-level forest ...

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the random forest regression technique (and a variant called bagging regression), where the goal is to ...