Complex and distributed systems are more and more common. Hardware is going from strength to strength and is embedded in high performance peer-to-peer networks mostly. The task of...
Background: In order to maintain the most comprehensive structural annotation databases we must carry out regular updates for each proteome using the latest profile-profile fold r...
Liam J. McGuffin, Richard T. Smith, Kevin Bryson, ...
Large sensor networks are being widely deployed for measurement, detection, and monitoring applications. Many of these applications involve database systems to store and process d...
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...
Abstract. We focus on discrete event systems with a structure of parallel processing, synchronization, and noconcurrency. We use max-plus algebra, which is an effective approach fo...