Background: Similarity inference, one of the main bioinformatics tasks, has to face an exponential growth of the biological data. A classical approach used to cope with this data ...
Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Many parallel applications from scientific computing use MPI collective communication operations to collect or distribute data. Since the execution times of these communication op...
We investigate the optimal performance of dense sensor networks by studying the joint source-channel coding problem. The overall goal of the sensor network is to take measurements...
: Nowadays, while large-sized multimedia objects are becoming very popular throughout the Internet, one of the important issues appears to be the acceleration of content delivery n...