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The simulation below is a 1-dimensional regression where a neural network is trained to regress to y coordinates for every given point x through an L2 loss.
Under the LINEX and L2 loss functions, admissibility and minimax results are derived for some location invariant estimators of the selected normal mean.
Hence, the equations throughout the paper assume that L2 loss is applied.
For continuous response variable, the appropriate loss function is the squared-error L2 loss and its derivative represents the residual.
In this study, we use the mean squared error (MSE) as error function, which is directly modeled by the L2 loss.
The dual problem f D of L2 loss SVR is presented in Equation 3, where Q i j =x i T x j is the so called kernel matrix.
Similar(49)
That means a £14.2bn loss.
Lloyds a £4bn loss.
(1 Actual loss of revenue.
(2 Potential loss of duties.
(2 Potential loss of revenue.
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