One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
Instruction set customization accelerates the performance of applications by compressing the length of critical dependence paths and reducing the demands on processor resources. W...
Sami Yehia, Nathan Clark, Scott A. Mahlke, Kriszti...
The ideas proposed in this work are aimed to describe a novel approach based on artificial life (alife) environments for on-line adaptive optimisation of dynamical systems. The bas...
Mauro Annunziato, Ilaria Bertini, M. Lucchetti, Al...
Ad hoc networks represent a key factor in the evolution of wireless communications. These networks typically consist of equal nodes that communicate without central control, inter...
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
Matthew H. Tong, Adam D. Bickett, Eric M. Christia...