In this article, we propose using the principle of boosting to reduce the bias of a random forest prediction in the regression setting. From the original random forest fit, we extract the residuals an
We investigate the impact of health insurance subsidies on a US commercial fishing fleet. Prior to the passage of the Affordable Care Act, members of North Carolina’s fleet showed different preference
Supplementary data (source code and results spreadsheets) of the paper "Fast Deep Stacked Networks Based on Extreme Learning Machine Applied to Regression Problems", currently submitted to Neural Netw
This research employs panel data across 31 provincial regions in China between 2011 and 2020 to evaluate the effect of DFI on the comprehensive value of fishery production. DFI metrics come from the D
