With modern simulation packages, the modeler can choose almost any standard statistical distribution for generating input random variables. The question arises as to how sensitive...
This work deals with the distributed measurement and reconstruction of time-varying spatial fields using wireless sensor networks (WSN). We use basis functions to formulate a low...
Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
A recent trend in low power design has been the employment of reduced precision processing methods for decreasing arithmetic activity and average power dissipation. Such designs c...
We investigate the distribution functions and the moments of the so-called Choquet integral, also known as the Lov´asz extension, when regarded as a real function of a random sam...