Distributed Partially Observable Markov Decision Problems (Distributed POMDPs) are a popular approach for modeling multi-agent systems acting in uncertain domains. Given the signi...
Pradeep Varakantham, Janusz Marecki, Yuichi Yabu, ...
Abstract— This article presents some results about schedulability analysis of tasks with offsets also known as transactions, in the particular case of monotonic transactions. The...
Karim Traore, Emmanuel Grolleau, Ahmed Rahni, Mich...
We explore fundamental performance limits of tracking a target in a two-dimensional field of binary proximity sensors, and design algorithms that attain those limits. In particul...
In this paper, we discuss the findings of an in-depth observational study of reading and within-document navigation and add to these findings the results of a second analysis of h...
Querying document-centric XML collections with structure conditions improves retrieval precisions. The structures of such XML collections, however, are often too complex for users...