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» Stochastic Composite Likelihood
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BIOCOMP
2007
13 years 10 months ago
Interaction Models for Biochemical Reactions
Abstract—This paper presents a stochastic modelling framework for complex biochemical reaction networks from a component-based perspective. Our approach takes into account the di...
Mila E. Majster-Cederbaum, Nils Semmelrock, Verena...
TCS
2010
13 years 3 months ago
A fluid analysis framework for a Markovian process algebra
Markovian process algebras, such as PEPA and stochastic -calculus, bring a powerful compositional approach to the performance modelling of complex systems. However, the models gen...
Richard A. Hayden, Jeremy T. Bradley
ECCV
2002
Springer
14 years 10 months ago
Automatic Camera Calibration from a Single Manhattan Image
We present a completely automatic method for obtaining the approximate calibration of a camera (alignment to a world frame and focal length) from a single image of an unknown scene...
J. Deutscher, Michael Isard, John MacCormick
AAAI
1998
13 years 10 months ago
Bayesian Network Models for Generation of Crisis Management Training Scenarios
We present a noisy-OR Bayesian network model for simulation-based training, and an efficient search-based algorithm for automatic synthesis of plausible training scenarios from co...
Eugene Grois, William H. Hsu, Mikhail Voloshin, Da...
CSDA
2006
91views more  CSDA 2006»
13 years 8 months ago
Model-based cluster and discriminant analysis with the MIXMOD software
The mixmod (mixture modeling) program fits mixture models to a given data set for the purposes of density estimation, clustering or discriminant analysis. A large variety of algor...
Christophe Biernacki, Gilles Celeux, Gérard...