Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
parameter, the (conventional) residual sum of squares is minimized, which can be validated by a simple grid search. Conclusion Kernel regression is a technique that can be derived from minimizing a “smoothed” or “smeared out” version of the empirical risk with respect to the quadratic loss