Bayesian networks (BN) constitute a useful tool to model the joint distribution of a set of random variables of interest. To deal with the problem of learning sensible BN models fr...
This paper proposes a mobile application to facilitate the meeting of people in unmarked spaces. We report on the concept, aspects of the work-in-progress implementation and futur...
George T. Hayes, Dhawal Mujumdar, Thomas Schluchte...
We present the architecture of a new Ordered Binary Decision Diagram library that is designed from the ground up to be space efficient. The main novelty lies in the library’s no...
Abstract— In this paper, dynamic practical stability properties of infinite-dimensional sampled-data systems are discussed. A family of finite-dimensional discrete-time control...
— Mercator is a program that uses hop-limited probes—the same primitive used in traceroute—to infer an Internet map. It uses informed random address probing to carefully expl...