Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.

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

New research demonstrates that ML can also predict metre-scale laboratory earthquakes, suggesting that, when scaled, similar ...

Random Forests Co-Developer Dr. Adele Cutler visited Salford Systems in San Diego, CA. While she was visiting, she gave the staff a few quick presentations and interviews related to the popular Random ...

Researchers in Slovakia have demonstrated a machine-learning framework that predicts PV inverter output and detects anomalies using only electrical and temporal data, achieving 100% accuracy in ...

This paper comprehensively surveys existing works of chip design with ML algorithms from an algorithm perspective. To accomplish this goal, the authors propose a novel and systematical taxonomy for ...

Advanced computer programs influence, and can even dictate, meaningful parts of our lives. Think streaming services, credit scores, facial recognition software. And as this technology becomes more ...

A: A random forest is a machine-learning method that makes predictions by combining the decisions of many simpler models called decision trees. A decision tree works like a tree from bottom-up. At ...