It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...
Many optimization techniques have been adopted for efficient job scheduling in grid computing, such as: genetic algorithms, simulated annealing and stochastic methods. Such techni...
Renato Porfirio Ishii, Rodrigo Fernandes de Mello,...
Ubiquitous multimedia services are emerging to be available at anytime and anywhere using a variety of computing devices. In this paper, we propose a low-complexity unequal loss pr...
In a recent paper, Martens et al. introduced a specification mechanism for XML tree languages, based on rules of the form r s, where r, s are regular expressions. Sets of such ru...
In this paper we study the problem of scheduling wireless links in the geometric SINR model, which explicitly uses the fact that nodes are distributed in the Euclidean plane. We p...
Olga Goussevskaia, Yvonne Anne Oswald, Roger Watte...