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...
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. ...
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...
Abstract. Model programs are used as high-level behavioral specifications typically representing abstract state machines. For modeling reactive systems, one uses input-output mode...
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...