Abstract. The foundation of a process model lies in its control flow specifications. Using a generic process modeling language for workflows, we show how a control flow specificati...
Abstract. Causal modeling, such as noisy-OR, reduces probability parameters to be acquired in constructing a Bayesian network. Multiple causes can reinforce each other in producing...
Abstract. Performing effective preference-based data retrieval requires detailed and preferentially meaningful structurized information about the current user as well as the items ...
traction with Interpolants K. L. McMillan Cadence Berkeley Labs Abstract. We describe a model checker for infinite-state sequential proased on Craig interpolation and the lazy abst...
Abstract— Robots need to track object. Object tracking efficiency completely depends on the accuracy of the motion model and of the sensory information. Interestingly, when mult...