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» Dependence Modeling for Stochastic Simulation
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BMCBI
2010
259views more  BMCBI 2010»
14 years 11 months ago
Rule-based spatial modeling with diffusing, geometrically constrained molecules
Background: We suggest a new type of modeling approach for the coarse grained, particle-based spatial simulation of combinatorially complex chemical reaction systems. In our appro...
Gerd Gruenert, Bashar Ibrahim, Thorsten Lenser, Ma...
ESAW
2004
Springer
15 years 9 months ago
Techniques for Analysis and Calibration of Multi-agent Simulations
In this paper we present analysis and calibration techniques that exploit knowledge about a multi agent society in order to calibrate the system parameters of a corresponding socie...
Manuel Fehler, Franziska Klügl, Frank Puppe
155
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JMLR
2010
157views more  JMLR 2010»
14 years 11 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell
ESANN
2007
15 years 5 months ago
A neural model of cross-modal association in insects
Abstract. We developed a computational model of learning in the Mushroom Body, a region of multimodal integration in the insect brain. Using realistic neural dynamics and a biologi...
Jan Wessnitzer, Barbara Webb
NOMS
2008
IEEE
15 years 10 months ago
A novel approach to bottleneck analysis in networks
—In this paper∗ , we devise a novel method for bottleneck analysis of UDP networks based on the concept of network utility maximization. To determine the losses on the links in...
Nikhil Shetty, Assane Gueye, Jean C. Walrand