We deal with temporal aspects of distributed systems, introducing and studying a new model called timed distributed -calculus. This model extends distributed -calculus with timers...
: Recently lots of studies aim at modeling and inferring gene networks. Modeling tools propose graphical models having almost nothing about time description of events and regards t...
We consider reinforcement learning as solving a Markov decision process with unknown transition distribution. Based on interaction with the environment, an estimate of the transit...
The authors have developed a new approach to database interoperability using the sketch data model. That technique has now been used in a number of applications, but an important ...
The complexity and detail of geometric scenes that are used in today’s computer animated films and interactive games have reached a level where the manual creation by tradition...