Many participatory sensing applications use data collected by participants to construct a public model of a system or phenomenon. For example, a health application might compute a...
Hossein Ahmadi, Nam Pham, Raghu K. Ganti, Tarek F....
The objective of recent research in fair queueing schemes has been to efficiently emulate a fluid-flow generalized (weighted) processor sharing (GPS) system, as closely as possibl...
Nick G. Duffield, T. V. Lakshman, Dimitrios Stilia...
One of the fundamental trade-offs in compact routing schemes is between the space used to store the routing table on each node and the stretch factor of the routing scheme – th...
In this paper, we set up a framework to study approximation of manipulation, control, and bribery in elections. We show existence of approximation algorithms (even fully polynomia...
Eric Brelsford, Piotr Faliszewski, Edith Hemaspaan...
Abstract. We propose a new matrix learning scheme to extend Generalized Relevance Learning Vector Quantization (GRLVQ). By introducing a full matrix of relevance factors in the dis...