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QEST
2009
IEEE
16 years 1 months ago
On the Impact of Modelling Choices for Distributed Information Spread
—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...
Rena Bakhshi, Ansgar Fehnker
190
Voted
ECML
2007
Springer
16 years 1 months ago
Statistical Debugging Using Latent Topic Models
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...
ANTSW
2010
Springer
15 years 4 months ago
Evaluating the Robustness of Activator-Inhibitor Models for Cluster Head Computation
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...
Lidia Yamamoto, Daniele Miorandi
IEEEARES
2010
IEEE
16 years 1 months ago
A Semi-Markov Survivability Evaluation Model for Intrusion Tolerant Database Systems
—Survivability modeling and evaluation have gained increasing importance. Most existing models assume that the distributions for transitions between states are exponential. Howev...
Alex Hai Wang, Su Yan, Peng Liu
ICRA
2008
IEEE
146views Robotics» more  ICRA 2008»
16 years 1 months ago
Exploration of an incremental suite of microscopic models for acoustic event monitoring using a robotic sensor network
— 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...