—When performing predictive data mining, the use of ensembles is known to increase prediction accuracy, compared to single models. To obtain this higher accuracy, ensembles shoul...
In recent years, planning and scheduling research has paid increasing attention to problems that involve resource oversubscription, where cumulative demand for resources outstrips...
Laurence A. Kramer, Laura Barbulescu, Stephen F. S...
In this paper, we consider a hybrid solution to the sensor network position inference problem, which combines a real-time filtering system with information from a more expensive,...
Dimitri Marinakis, David Meger, Ioannis M. Rekleit...
Enforced hill-climbing is an effective deterministic hillclimbing technique that deals with local optima using breadth-first search (a process called "basin flooding"). ...
Accurate modeling of delay, power, and area of interconnections early in the design phase is crucial for effective system-level optimization. Models presently used in system-level...
Luca P. Carloni, Andrew B. Kahng, Swamy Muddu, Ale...