Scientific Research Publishing

Sahin, E.K. (2020) Assessing the Predictive Capability of Ensemble Tree Methods for Landslide Susceptibility Mapping Using XGBoost, Gradient Boosting Machine, and Random Forest ...

ABSTRACT: Road traffic accidents are one of the global safety and socioeconomic challenges. According to WHO (2024), it has caused over 1.19 million annual fatalities. It is also projected to cause ...
EurekAlert!

Figure 1 Schematic diagrams of two superconducting flux qubit circuits. (IMAGE)

Figure 1 Schematic diagrams of two superconducting flux qubit circuits. The conventional qubit (a) requires an external magnetic field to operate optimally, while the new flux qubit (b), using a ...
Frontiers

Light gradient boost tree classifier predictions on appendicitis with periodontal disease from biochemical and clinical parameters

Introduction: Untreated periodontitis significantly increases the risk of tooth loss, often delaying treatment due to asymptomatic phases. Recent studies have increasingly associated poor dental ...
IEEE

A tree regression algorithm based on incremental gradient boosting

Abstract: Gradient boosting is an efficient and scalable supervised machine learning technique, and most scaling models based on gradient boosting perform well on point regression tasks, but they can ...
Scientific Research Publishing

Chen, T., He, T., Benesty, M., Khotilovich, V., Tang, Y., Cho, H., Zhou, T., et al. (2015) Xgboost: Extreme Gradient Boosting. R Package Version 0.4-2, 1-4.

ABSTRACT: Early stroke prediction is vital to prevent damage. A stroke happens when the blood flow to the brain is disrupted by a clot or bleeding, resulting in brain death or injury. However, early ...