In this problem, the optimal path is one that maximizes the expected utility, with the utility function being piecewise-linear and concave. Such a utility function can be used to approximate nonlinear ...

For this, you also need non-linear thresholding functions that adjust the weights between the layers of neurons.

This paper provides a novel mechanism for identifying and estimating latent group structures in panel data using penalized techniques. We consider both linear and nonlinear models where the regression ...

It formalizes circular causalities between order and control parameters into a set of nonlinear difference equations and shows how self-organized thresholds create critical instabilities and ...