— We study the problem of optimal estimation using quantized innovations, with application to distributed estimation over sensor networks. We show that the state probability dens...
We build on our prior work with computer-supported teams performing a complex decision-making task on maps, where the distinction between content and process common ground is prop...
Gregorio Convertino, Helena M. Mentis, Mary Beth R...
In recent years much attention has been paid to networkbased, distributed environments like text-based MUDs and MOOs for supporting collaborative work. Such environments offer a s...
A token is hidden in one out of n boxes following some known probability distribution and then all the boxes are locked. The goal of a searcher is to find the token in at most D n...
We consider the problem of estimating the model count (number of solutions) of Boolean formulas, and present two techniques that compute estimates of these counts, as well as eith...