Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
The immense explosion of geographically referenced data calls for efficient discovery of spatial knowledge. One critical requirement for spatial data mining is the capability to ...
Wei Ding 0003, Christoph F. Eick, Jing Wang 0007, ...
Future digital entertainment services available to home users will share several characteristics: i) they will be deployed and delivered through the Internet, ii) a single media c...
Claudio E. Palazzi, Giovanni Pau, Marco Roccetti, ...
In this paper, we present a very fast and accurate rectilinear Steiner minimal tree (RSMT)1 algorithm called FLUTE. The algorithm is an extension of the wirelength estimation appr...
With rapid technological advances in network infrastructure, programming languages, compatible component interfaces and so many more areas, today the computational Grid has evolve...