Data loss prevention starts with the creation of a digital object. However, methods to minimize the loss of digital data are often ignored, the use of metadata structures embedded...
—In this paper we apply Coevolutionary Temporal Difference Learning (CTDL), a hybrid of coevolutionary search and reinforcement learning proposed in our former study, to evolve s...
Exploration efficiency of GAs largely depends on parameter values. But, it is hard to manually adjust these values. To cope with this problem, several adaptive GAs which automatica...
We show that randomization can lead to significant improvements for a few fundamental problems in distributed tracking. Our basis is the count-tracking problem, where there are k...
— We consider how to support a large number of users over a wide-area network whose interests are characterized by range top-k continuous queries. Given an object update, we need...