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» Belief Networks in Construction Simulation
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UAI
2003
13 years 11 months ago
Approximate Inference and Constrained Optimization
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms correspo...
Tom Heskes, Kees Albers, Bert Kappen
JAIR
2006
143views more  JAIR 2006»
13 years 9 months ago
Convexity Arguments for Efficient Minimization of the Bethe and Kikuchi Free Energies
Loopy and generalized belief propagation are popular algorithms for approximate inference in Markov random fields and Bayesian networks. Fixed points of these algorithms have been...
Tom Heskes
IPPS
2009
IEEE
14 years 4 months ago
Resource allocation strategies for constructive in-network stream processing
We consider the operator mapping problem for in-network stream processing, i.e., the application of a tree of operators in steady-state to multiple data objects that are continuou...
Anne Benoit, Henri Casanova, Veronika Rehn-Sonigo,...
BMCBI
2004
323views more  BMCBI 2004»
13 years 9 months ago
Biochemical Network Stochastic Simulator (BioNetS): software for stochastic modeling of biochemical networks
Background: Intrinsic fluctuations due to the stochastic nature of biochemical reactions can have large effects on the response of biochemical networks. This is particularly true ...
David Adalsteinsson, David McMillen, Timothy C. El...
PADS
1996
ACM
14 years 1 months ago
Queueing Models and Stability of Message Flows in Distributed Simulators of Open Queueing Networks
In this paper we study message flow processes in distributed simulators of open queueing networks. We develop and study queueing models for distributed simulators with maximum loo...
Manish Gupta 0007, Anurag Kumar, Rajeev Shorey