Markov decision processes (MDPs) are controllable discrete event systems with stochastic transitions. Performances of an MDP are evaluated by a payoff function. The controller of ...
Background: The availability of microarrays measuring thousands of genes simultaneously across hundreds of biological conditions represents an opportunity to understand both indiv...
Curtis Huttenhower, Avi I. Flamholz, Jessica N. La...
In this paper, we propose a software architecture model for the development of elaboration/transcoding modules for structured data. We define a flexible implementation approach ...
There exist a wide variety of network design problems that require a traffic matrix as input in order to carry out performance evaluation. The research community has not had at it...
Many emerging scientific and industrial applications require transferring multiple Tbytes of data on a daily basis. Examples include pushing scientific data from particle accele...
Nikolaos Laoutaris, Georgios Smaragdakis, Pablo Ro...