We address the dependence of critical infrastructures— including electric power, telecommunications, finance and transportation—on vulnerable information systems. Our approach...
Kevin J. Sullivan, John C. Knight, Xing Du, Steve ...
Abstract: This paper is focused on user modeling and adaptation in distributed ELearning systems. We describe here CUMULATE, a generic student modeling server developed for a distr...
Peter Brusilovsky, Sergey A. Sosnovsky, Olena Shch...
This paper proposes a hierarchical Bayesian model that can be used for semi-supervised hyperspectral image unmixing. The model assumes that the pixel reflectances result from linea...
Nicolas Dobigeon, Jean-Yves Tourneret, Chein-I Cha...
In this paper, we present a novel approach to enhance hierarchical phrase-based machine translation systems with linguistically motivated syntactic features. Rather than directly ...
Performance measurement of large distributed multiagent systems (MAS) offers challenges that must be addressed explicitly in the agent infrastructure. Performance data is widely d...
Aaron Helsinger, Richard Lazarus, William Wright, ...