The backup of large data sets is preferably performed automatically outside of regular working hours. In highly structured computer networks, however, faults and exceptions may rel...
Geo-sciences involve large-scale parallel models, high resolution real time data from highly asynchronous and heterogeneous sensor networks and instruments, and complex analysis a...
Rich representations in reinforcement learning have been studied for the purpose of enabling generalization and making learning feasible in large state spaces. We introduce Object...
Maintenance and evolution of complex software systems (such as large telecom embedded devices) involve activities such as reverse engineering (RE) and software visualization. Alth...
VRML97 allows the description of dynamic worlds that can change with both the passage of time, and user interaction. Unfortunately, the current VRML usage model prevents its full ...