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» Using UML for Modeling Complex Real-Time Systems
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ALMOB
2006
113views more  ALMOB 2006»
15 years 6 months ago
Inverse bifurcation analysis: application to simple gene systems
Background: Bifurcation analysis has proven to be a powerful method for understanding the qualitative behavior of gene regulatory networks. In addition to the more traditional for...
James Lu, Heinz W. Engl, Peter Schuster
BMCBI
2006
194views more  BMCBI 2006»
15 years 6 months ago
Novel metaheuristic for parameter estimation in nonlinear dynamic biological systems
Background: We consider the problem of parameter estimation (model calibration) in nonlinear dynamic models of biological systems. Due to the frequent ill-conditioning and multi-m...
Maria Rodriguez-Fernandez, Jose A. Egea, Julio R. ...
JMLR
2007
137views more  JMLR 2007»
15 years 6 months ago
Building Blocks for Variational Bayesian Learning of Latent Variable Models
We introduce standardised building blocks designed to be used with variational Bayesian learning. The blocks include Gaussian variables, summation, multiplication, nonlinearity, a...
Tapani Raiko, Harri Valpola, Markus Harva, Juha Ka...
ICTAC
2009
Springer
16 years 1 months ago
Input-Output Model Programs
Abstract. Model programs are used as high-level behavioral specifications typically representing abstract state machines. For modeling reactive systems, one uses input-output mode...
Margus Veanes, Nikolaj Bjørner
ECMDAFA
2005
Springer
122views Hardware» more  ECMDAFA 2005»
16 years 6 days ago
Semantic Anchoring with Model Transformations
Model-Integrated Computing (MIC) is an approach to Model-Driven Architecture (MDA), which has been developed primarily for embedded systems. MIC places strong emphasis on the use o...
Kai Chen 0003, Janos Sztipanovits, Sherif Abdelwah...