—We consider a distributed shuffling algorithm for sharing data in a distributed network. Nodes executing the algorithm periodically contact each other and exchange data. The be...
Abstract. Statistical debugging uses machine learning to model program failures and help identify root causes of bugs. We approach this task using a novel Delta-Latent-Dirichlet-Al...
David Andrzejewski, Anne Mulhern, Ben Liblit, Xiao...
Activator-inhibitor models have been widely used to explain several morphogenetic processes. They have also been used to engineer algorithms for computer graphics, distributed syst...
—Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. Howev...
— Simulation is frequently used in the study of multi-agent systems. Unfortunately, in many cases, it is not necessarily clear how faithfully the details of the simulated model r...
Christopher M. Cianci, Jim Pugh, Alcherio Martinol...