Kernel Density Estimation, Regression, Differential Equations, Data Science, Statistics.
constant factor “1 / N” so that we actually pit the average empirical risk against the regularization term. Computing the corresponding Euler–Lagrange equation is a straightforward task: Of course, for λ = 0 this formula reduces to conventional kernel regression. This is a second-order linear