Database selection is an important step when searching over large numbers of distributed text databases. The database selection task relies on statistical summaries of the databas...
1 We consider the problem of scheduling an unknown sequence of tasks for a single server as the tasks arrive with the goal off maximizing the total weighted value of the tasks serv...
Flow measurement evolved into the primary method for measuring the composition of Internet traffic. Large ISPs and small networks use it to track dominant applications, dominant ...
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...
This paper investigates the issue of dynamic resource allocation (DRA) in the context of multiuser cognitive radio networks. We present a general framework adopting generalized si...