We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Recognizing human intentions is part of the decision process in many technical devices. In order to achieve natural interaction, the required estimation quality and the used comput...
Abstract. In this study we propose a novel model for the representation of biological networks and provide algorithms for learning model parameters from experimental data. Our appr...
Abstract—Network flow models serve as a popular mathematical framework for the analysis and optimization of Multi-hop Wireless Networks. They also serve to provide the understan...
We investigate the use of a morphological neural network to improve the performance of information retrieval systems. A morphological neural network is a neural network based on l...