Abstract. The performance of financial forecasting with neural networks dependents on the particular training set. We design mean-change-point test to divide the original dataset i...
In this paper we analyze the complexity of scheduling wireless links in the physical interference model with analog network coding capability. We study two models with different d...
straction of Complex Network Compositions∗ Azer Bestavros, Adam D. Bradley, Assaf J. Kfoury, and Ibrahim Matta Department of Computer Science Boston University The heterogeneity...
Azer Bestavros, Adam Bradley, Assaf J. Kfoury, Ibr...
Abstract—The evolution towards cross-organizational collaboration and interaction patterns has led to the emergence of scalable, Web services-based composition infrastructures. T...
This paper describes a new framework for using natural selection to evolve Bayesian Networks for use in forecasting time series data. It extends current research by introducing a ...