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CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 6 months ago
Learning Networks of Stochastic Differential Equations
We consider linear models for stochastic dynamics. To any such model can be associated a network (namely a directed graph) describing which degrees of freedom interact under the d...
José Bento, Morteza Ibrahimi, Andrea Montan...
BMCBI
2010
172views more  BMCBI 2010»
13 years 3 months ago
Nonparametric identification of regulatory interactions from spatial and temporal gene expression data
Background: The correlation between the expression levels of transcription factors and their target genes can be used to infer interactions within animal regulatory networks, but ...
Anil Aswani, Soile V. E. Keränen, James Brown...
CN
2002
102views more  CN 2002»
13 years 8 months ago
On the impact of soft handoff in cellular systems
We present a model for soft handoff in wireless cellular networks. In such networks, due to overlapping cells, handoffs are not instantaneous and multiple channels may be occupied...
Nidhi Hegde, Khosrow Sohraby
WSC
1997
13 years 9 months ago
Simulation of Modern Parallel Systems: A CSIM-based Approach
Components of modern parallel systems are becoming quite complex with many features and variations. An integrated modeling of these components (interconnection network, messaging ...
Dhabaleswar K. Panda, Debashis Basak, Donglai Dai,...
IJON
2000
76views more  IJON 2000»
13 years 8 months ago
Fast neural network simulations with population density methods
The complexity of neural networks of the brain makes studying these networks through computer simulation challenging. Conventional methods, where one models thousands of individua...
Duane Q. Nykamp, Daniel Tranchina