—This paper introduces a novel numerical carbon nanotube transistor (CNT) modelling approach which brings in a flexible and efficient cubic spline non-linear approximation of t...
Dafeng Zhou, Tom J. Kazmierski, Bashir M. Al-Hashi...
We study the problem of minimum energy cooperative path (MECP) routing in wireless networks. The joint problem of cooperative routing in wireless networks that combines route sele...
Using multilayer perceptrons (MLPs) to approximate the state-action value function in reinforcement learning (RL) algorithms could become a nightmare due to the constant possibilit...
In reinforcement learning, it is a common practice to map the state(-action) space to a different one using basis functions. This transformation aims to represent the input data i...
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...