Abstract: Gradient-boosting decision tree classifiers (GBDTs ... perturbation attacks using symmetric adversarial samples in order to obtain correct classification. We apply and evaluate the symmetry ...

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning ...

Prognostic and clinical decision making theory are explored in consideration ... Class contact times vary by course and type of module. Typically, for a module predominantly delivered through lectures ...

Various classification algorithms, including Random Forest, Logistic Regression, Decision Tree, and K-Nearest Neighbors (KNN), were trained to classify accident types. The primary goal of this project ...