Department of Mathematics, Statistics and Actuarial Science, Faculty of Health, Natural Resources and Applied Sciences, Namibia University of Science and Technology, Windhoek, Namibia. Food insecurity ...

The final predictions are the sum of the raw linear predictions and the residuals modeled by the Random Forest. Linear Boosting is a two stage learning process. Firstly, a linear model is trained on ...

Continuous regression testing is a time constrained process aimed at detecting potential regressions introduced in source code integration. Test prioritization is an approach to increase the ...

The diagram in Figure 2 gives you a rough idea of support vector regression for a scenario where there is just one predictor variable x. Each dot is a training data item. The red line is the linear ...

We propose the kernel version of the recently introduced spectral-spatial shared linear regression (SSSLR) for hyperspectral image (HSI) classification. Original SSSLR used original data space-based ...