The periodic broadcasting of frequently requested data can reduce the workload of uplink channels and improve data access for users in a wireless network. Since mobile devices hav...
The Bayesian committee machine (BCM) is a novel approach to combining estimators which were trained on different data sets. Although the BCM can be applied to the combination of a...
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
Linear projection equations arise in many optimization problems and have important applications in science and engineering. In this paper, we present a recurrent neural network fo...
The generation of better label placement configurations in maps is a problem that comes up in automated cartographic production. The objective of a good label placement is to displ...