Sahin, E.K. (2020) Assessing the Predictive Capability of Ensemble Tree Methods for Landslide Susceptibility Mapping Using XGBoost, Gradient Boosting Machine, and Random Forest. SN Applied Sciences, 2 ...

This paper proposes a hybrid model incorporating a 17-lump kinetic model (SLKM) and a light gradient boosting machine (LightGBM). First, as the difficulty of parameter determination of SLKM, this ...

Article citations More>> Kalusivalingam, A.K., Sharma, A., Patel, N. and Singh, V. (2012) Enhancing Hospital Readmission Rate Predictions Using Random Forest and Gradient Boosting Algorithms.

Dollar Tree posted EPS of $1.12, beating consensus estimates by 5 cents. Revenues rose 3.5% YoY to $7.57 billion, beating consensus estimates of $7.45 billion in the third quarter of 2024.

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the gradient boosting regression technique, where the goal is to predict a single numeric value. Compared to ...

Emily Simpson revealed how her son, Luke, helped her decorate an enormous glowing Christmas tree in their family's living room. See the photo!

Improved Hardware Utilization: By leveraging tensor core capabilities, the algorithm enhances hardware efficiency, overcoming limitations seen in prior methods. Broad Applicability: Beyond prefix sums ...

Here, we propose a gradient boosting decision tree (GBDT)-based framework for the automatic selection of optimal ACSFs. This framework takes uniformly distributed sets of ACSFs as input and evaluates ...

X Algorithm Feeds Users Political Content—Whether They Want It or Not A WSJ experiment finds that accounts supporting Trump and Harris dominate feeds of new X users who wanted cooking and crafts ...