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CDC
2010
IEEE
105views Control Systems» more  CDC 2010»
15 years 1 months ago
Universal scheduling for networks with arbitrary traffic, channels, and mobility
We extend stochastic network optimization theory to treat networks with arbitrary sample paths for arrivals, channels, and mobility. The network can experience unexpected link or n...
Michael J. Neely
JMLR
2010
137views more  JMLR 2010»
15 years 1 months ago
Importance Sampling for Continuous Time Bayesian Networks
A continuous time Bayesian network (CTBN) uses a structured representation to describe a dynamic system with a finite number of states which evolves in continuous time. Exact infe...
Yu Fan, Jing Xu, Christian R. Shelton
NN
2008
Springer
150views Neural Networks» more  NN 2008»
15 years 6 months ago
Neural network based pattern matching and spike detection tools and services - in the CARMEN neuroinformatics project
In the study of information flow in the nervous system, component processes can be investigated using a range of electrophysiological and imaging techniques. Although data is diff...
Martyn Fletcher, Bojian Liang, Leslie Smith, Alast...
WWW
2003
ACM
16 years 7 months ago
eduSource: Interoperable Network of Learning Object Repositories
In this paper, we describe the approach to achieve a high level of interoperability in the eduSource. The eduSource project is a panCanadian collaborative project to create a test...
Marek Hatala, Griff Richards
EWSN
2006
Springer
16 years 6 months ago
FlexCup: A Flexible and Efficient Code Update Mechanism for Sensor Networks
Abstract. The ability to update the program code installed on wireless sensor nodes plays an import role in the highly dynamic environments sensor networks are often deployed in. S...
Andreas Lachenmann, Daniel Minder, Kurt Rothermel,...