Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Sequential random sampling (`Markov Chain Monte-Carlo') is a popular strategy for many vision problems involving multimodal distributions over high-dimensional parameter spac...
Abstract—In order to achieve data delivery in Delay Tolerant Networks (DTN), researchers have proposed the use of store-carryand-forward protocols: a node there may store a messa...
Amir Krifa, Chadi Barakat, Thrasyvoulos Spyropoulo...
Utility Grids create an infrastructure for enabling users to consume services transparently over a global network. When optimizing workflow execution on utility Grids, we need to c...
As location-based services on mobile devices are entering more and more everyday life, we are concerned in this paper with finding ways to master the level of quality of location ...
Sophie Chabridon, Cao-Cuong Ngo, Zied Abid, Denis ...