GitHub

Explain XGBoost models with the Hoeffding functional decomposition.

treehfd is a Python module to compute the Hoeffding functional decomposition of XGBoost models (Chen and Guestrin, 2016) with dependent input variables, using the TreeHFD algorithm. This decomposition ...
IEEE

Early-Stage Prediction of Electromigration Stress Using Extreme Gradient Boosting Algorithm

Abstract: As technology scales to smaller nanometer nodes, Electromigration (EM) has become one of the most significant challenges in the EDA industry. Due to the reduction of the interconnect ...
Healio

Researchers create AI model to predict sepsis in pediatric EDs

Researchers developed a machine learning model that could identify children in the ED who were at risk for developing sepsis ...
IEEE

Comparison of Air Quality Prediction using Random Forest and Gradient Boosting Tree

Abstract: Air quality has become one of the most pressing environmental issues of the 21st century. Rapid population growth, industrialization, and mobility have led to increased emissions of ...
Frontiers

Eco-zoning management based on thresholds of NPP driving factors

The spatiotemporal differentiation of net primary productivity (NPP) is non-linearly regulated by multiple factors, with the identification of driving factor thresholds and ecological zoning remaining ...