Learning temporal causal graph structures from multivariate time-series data reveals important dependency relationships between current observations and histories, and provides a ...
Yan Liu 0002, Alexandru Niculescu-Mizil, Aurelie C...
Emergence is a concept that is not easy to grasp, since it contradicts our idea of central control and planning. In this work, we use a swarm of robots as a tangible tool to visua...
Packet-switched networks-on-chip (NoC) have been proposed as an efficient communication infrastructure for multi-core architectures. Adding virtual channels to a NoC helps to avoi...
Processor speed and available computing power constantly increases, enabling computation of more and more complex problems such as numerical simulations of physical processes. In t...
Abstract— Over the last years, interest in hybrid metaheuristics has risen considerably in the field of optimization. Combinations of methods such as evolutionary algorithms and...