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» Combining Simple Models to Approximate Complex Dynamics
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IJAR
2008
118views more  IJAR 2008»
14 years 10 months ago
Dynamic multiagent probabilistic inference
Cooperative multiagent probabilistic inference can be applied in areas such as building surveillance and complex system diagnosis to reason about the states of the distributed unc...
Xiangdong An, Yang Xiang, Nick Cercone
IFIP
1993
Springer
15 years 2 months ago
Plant Engineering: Conceptual Modeling and Modular Design of a Computer Aided Environment
When designing a plant for continuous or semi-continuous processes, such as paper pulp or petrochemical production systems, engineers face very complex tasks, which are only in pa...
Cláudio Walter, José Palazzo M. de O...
ICCAD
2000
IEEE
88views Hardware» more  ICCAD 2000»
15 years 2 months ago
Hierarchical Interconnect Circuit Models
The increasing size of integrated systems combined with deep submicron physical modeling details creates an explosion in RLC interconnect modeling complexity of unmanageable propo...
Michael W. Beattie, Satrajit Gupta, Lawrence T. Pi...
BC
2002
90views more  BC 2002»
14 years 9 months ago
Converging evidence for a simplified biophysical model of synaptic plasticity
Different mechanisms that could form the molecular basis for bi-directional synaptic plasticity have been identified experimentally and corresponding biophysical models can be cons...
Harel Z. Shouval, Gastone C. Castellani, Brian S. ...
JMLR
2010
121views more  JMLR 2010»
14 years 4 months ago
Efficient Collapsed Gibbs Sampling for Latent Dirichlet Allocation
Collapsed Gibbs sampling is a frequently applied method to approximate intractable integrals in probabilistic generative models such as latent Dirichlet allocation. This sampling ...
Han Xiao, Thomas Stibor