Single and multi-step time-series predictors were evolved for forecasting minimum bidding prices in a simulated supply chain management scenario. Evolved programs were allowed to ...
Alexandros Agapitos, Matthew Dyson, Jenya Kovalchu...
Prediction of time series is an important problem in many areas of science and engineering. Extending the horizon of predictions further to the future is the challenging and diffic...
The control flow of common processors does not match the specific needs of reactive systems. Key issues for these systems are preemption and concurrency, combined with timing pred...
—Predictive modeling aims at constructing models that predict a target property of an object based on its descriptions. In digital human modeling, it can be applied to predicting...
We propose a high-level analytical model for estimating the energy and/or power dissipation in VLSI processor (systolic) array implementations of loop programs, particularly for i...