Non-parametric Random Forest (RndF) and Multi-Class AdaBoost (MCA) ensemble classifiers were introduced with RF-Distinct Native Attribute (RF-DNA) fingerprinting to enhance device authentication ...

To effectively model the representation of meaningful memories using random trees, Tsodyks and his colleagues used online platforms like Amazon and Prolific to perform recall experiments on a ...

This article considers a measure of variable importance frequently used in variable-selection methods based on decision trees and tree-based ensemble models. These models include CART, random forests, ...