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BMCBI
2010
259views more  BMCBI 2010»
13 years 9 days 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...
ICML
2010
IEEE
13 years 6 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
CDC
2009
IEEE
139views Control Systems» more  CDC 2009»
13 years 3 months ago
Synchronization stability of complex dynamical networks with probabilistic time-varying delays
Abstract-- A kind of complex dynamical networks with timevarying coupling delays is proposed. By some transformation, the synchronization problem of the complex networks is transfe...
Hongjie Li, Dong Yue, Zhou Gu
ICASSP
2011
IEEE
12 years 9 months ago
Global emergent behaviors in clouds of agents
—Networks of biological agents (for example, ants, bees, fish, birds) and complex man-made cyberphysical infrastructures (for example, the power grid, transportation networks) e...
Soummya Kar, José M. F. Moura
JMLR
2010
140views more  JMLR 2010»
13 years 2 days ago
Mean Field Variational Approximation for Continuous-Time Bayesian Networks
Continuous-time Bayesian networks is a natural structured representation language for multicomponent stochastic processes that evolve continuously over time. Despite the compact r...
Ido Cohn, Tal El-Hay, Nir Friedman, Raz Kupferman