As sensor networks become denser and more widely deployed, the potential develops for interconnecting these networks to combine datasets, share technological solutions, and to con...
Todd Hansen, Sameer Tilak, Steve Foley, Kent Lindq...
A Bayesian belief network is a model of a joint distribution over a finite set of variables, with a DAG structure representing immediate dependencies among the variables. For each...
With the growth of on-line information, the need for better resource location services is growing rapidly. A popular goal is to conduct search in terms of concepts, rather than wo...
Peter Clark, John Thompson, Heather Holmback, Lisb...
State spaces are commonly used representations of system behavior. A state space may be derived from a model of system behavior but can also be obtained through process mining. For...
H. M. W. (Eric) Verbeek, A. Johannes Pretorius, Wi...
Today, with the proliferation of affordable computing, people use multiple devices to fulfill their information needs. Designers approach each device platform individually, with...