We introduce a novel multi-agent patrolling strategy. By assumption, the swarm of agents performing the task consists of very low capability ant-like agents. The agents have littl...
In this paper we investigate protocols for scheduling applications that consist of large numbers of identical, independent tasks on large-scale computing platforms. By imposing a ...
Barbara Kreaseck, Larry Carter, Henri Casanova, Je...
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
Energy consumption of the Internet is already substantial and it is likely to increase as operators deploy faster equipment to handle popular bandwidthintensive services, such as ...
This paper addresses the problem of scatternet formation for singlehop Bluetooth based ad hoc networks, with minimal communication overhead. We adopt the well-known structure de B...
Wen-Zhan Song, Xiang-Yang Li, Yu Wang 0003, Weizha...