So Lynch suggested something straight from her own research playbook: decision trees and random forests. Decision trees, Lynch explained, are machine learning algorithms that create chains of ...

Huettmann and his team used the software Random Forest, a commonly used machine-learning algorithm, to make inferences from the predictors. The computer model was trained using data sets from the ...

and selected the Random Forest algorithm to identify threats in encrypted communication traffic. This mature Machine Learning (ML) algorithm produces an identification accuracy higher than 99%.

Such algorithms are used in myriad applications, including medicine, autonomous vehicles, speech recognition, and machine ... random forest, support vector machines (SVM), and more. Unsupervised ...