-- Future distributed applications are expected to be deployed in an environment that is more dynamic and heterogeneous than ever before. The environment features are difficult to ...
Abstract. The development of robots that learn from experience is a relentless challenge confronting artificial intelligence today. This paper describes a robot learning method whi...
The requirement for ubiquitous service access in wireless environments presents a great challenge in light of well known problems like high error rate and frequent disconnections....
Vasileios Baousis, Vassilis Spiliopoulos, Elias Za...
Adaptive operator scheduling algorithms for continuous query processing are usually designed to serve a single performance objective, such as minimizing memory usage or maximizing...
Timothy M. Sutherland, Yali Zhu, Luping Ding, Elke...
This work proposes concepts, designs, experiences and lessons learned from some studies of ad hoc learning supported by wireless and mobile technologies. The ad hoc learning activi...