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
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
In this article, a new method named cumulative slicing principle fitted component (CUPFC) model is proposed to conduct sufficient dimension reduction and prediction in regression. Based on the classic
