This paper investigates the problem of estimating the value of probabilistic parameters needed for decision making in environments in which an agent, operating within a multi-agen...
To cope with large scale, agents are usually organized in a network such that an agent interacts only with its immediate neighbors in the network. Reinforcement learning technique...
: Statistics that accurately describe the distribution of data values in the columns of relational tables are essential for effective query optimization in a database management sy...
Alexander Behm, Volker Markl, Peter J. Haas, Kesha...
Through web service technology, distributed applications can be built in a exible manner, bringing tremendous power to applications on the web. However, this exibility poses sig...
Distributed writable storage systems typically provide NFS-like semantics and unbounded persistence for files. We claim that for planetary-scale distributed services such facilit...