In this paper three methods are derived for approximating $f$, given its Laplace transform $g$ on $(0, \infty)$, i.e., $\int^\infty_0 f(t) \exp(-st) dt = g(s ...

The paper studies convergence properties of method of regulation estimators of θ in the abstract nonlinear regression model $z_i = \eta (\theta; x_i) + \varepsilon_i ...

Our data science expert continues his exploration of neural network programming, explaining how regularization addresses the problem of model overfitting, caused by network overtraining. Neural ...