Learning temporal graph structures from time series data reveals important dependency relationships between current observations and histories. Most previous work focuses on learn...
Abstract. We introduce a new conceptual model for representing and designing Stochastic Local Search (SLS) algorithms for the propositional satisfiability problem (SAT). Our model...
Computational models of visual attention result in considerable data compression by eliminating processing on regions likely to be devoid of meaningful content. While saliency map...
Earthwork projects involve moving specific amounts of earth from a discrete set of source locations to a discrete set of destinations. Constructors use different methods and equip...
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...