ACL
2010
13 years 3 months ago
2010
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...
RTAS
2010
IEEE
13 years 3 months ago
2010
IEEE
—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...
ISCI
2010
13 years 3 months ago
2010
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...
IOR
2010
13 years 3 months ago
2010
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, ...
IFIPTM
2010
13 years 3 months ago
2010
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...
IEEESP
2010
13 years 3 months ago
2010
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...
IEEEHPCS
2010
13 years 3 months ago
2010
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 -...
ORL
2007
13 years 4 months ago
2007
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...
CN
2004
13 years 4 months ago
2004
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...
APIN
2004
13 years 4 months ago
2004
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...