There has historically been very little concern with extrapolation in Machine Learning, yet extrapolation can be critical to diagnose. Predictor functions are almost always learne...
Network accountability and forensic analysis have become increasingly important, as a means of performing network diagnostics, identifying malicious nodes, enforcing trust managem...
This paper presents techniques for exploiting redundancy in teams of mobile robots. In particular, we address tasks involving the kinematic coordination of several communicating r...
John Sweeney, T. J. Brunette, Yunlei Yang, Roderic...
Heterogeneous clusters and grid infrastructures are becoming increasingly popular. In these computing infrastructures, machines have different resources, including memory sizes, d...
: This paper presents the networking architecture developed in the CASCOM research project. This architecture provides an efficient and reliable communication support and service d...
Heikki Helin, Tim Van Pelt, Michael Schumacher, Ah...