Before revision: Well known to the machine learning community, the random feature model , originally introduced by Rahimi and Recht in 2008, is a parametric approximation to kernel interpolation or regression methods.
After revision: Well known to the machine learning community, the random feature model is a parametric approximation to kernel interpolation or regression methods.