In this paper we investigate how people use online rating information to inform decision making. We examine whether a theory of searching for information to discriminate between a...
We present a dual decomposition approach to the treereweighted belief propagation objective. Each tree in the tree-reweighted bound yields one subproblem, which can be solved with...
We study and characterize social-aware forwarding protocols in opportunistic networks and we derive bounds on the expected message delivery time for two different routing protocol...
Bayesian learning, widely used in many applied data-modeling problems, is often accomplished with approximation schemes because it requires intractable computation of the posterio...
Abstract. Multi-threaded programs with recursion are naturally modeled as multi-pushdown systems. The behaviors are represented as multiply nested words (MNWs), which are words enr...