We extend the differential approach to inference in Bayesian networks (BNs) (Darwiche, 2000) to handle specific problems that arise in the context of dynamic Bayesian networks (D...
Abstract. The increasing capabilities of experimental household robot platforms require more and more sophisticated methods of interaction. While there are many developments in all...
Christopher Parlitz, Winfried Baum, Ulrich Reiser,...
In this paper we introduce a group-messaging interface that allows humans to efficiently interact with a group of agents through a hierarchical and customizable text protocol. Our...
Marco M. Carvalho, Matteo Rebeschini, James Horsle...
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...