We present a data-driven approach to learn user-adaptive referring expression generation (REG) policies for spoken dialogue systems. Referring expressions can be difficult to unde...
—This article studies the scheduling of critical embedded systems, which consist of a set of communicating periodic tasks with constrained deadlines. Currently, tasks are usually...
We present a framework for modeling the spread of pathogens throughout a population and generating policies that minimize the impact of those pathogens on the population. This fra...
We study an inventory system under periodic review in the presence of two suppliers (or delivery modes). The emergency supplier has a shorter lead-time than the regular supplier, ...
Enforcing complex policies that span organizational domains is an open challenge. Current work on SOA policy enforcement splits security in logical components that can be distribut...
Abstract—Private data of individuals is constantly being collected, analyzed, and stored by different kinds of organizations: shopping sites to provide better service and recomme...
Abstract—Many peer-to-peer file sharing communities implement credit policies to incentivise users to contribute upload resources. Such policies implicitly assume a user model -...
Rameez Rahman, David Hales, Tamas Vinko, Johan A. ...
In ergodic MDPs we consider stationary distributions of policies that coincide in all but n states, in which one of two possible actions is chosen. We give conditions and formulas...
Due to the autonomous nature of ISPs, the service level agreement (SLA) offering is currently confined to within a single provider network. In this work, we examine some methods o...
In this paper we are concerned with the problem of learning how to solve planning problems in one domain given a number of solved instances. This problem is formulated as the probl...