We propose a compositional approach to the dynamics of gene regulatory networks based on the stochastic π-calculus, and develop a representation of gene network elements which can...
This paper presents a novel approach to assist the user in exploring appropriate transfer functions for the visualization of volumetric datasets. The search for a transfer functio...
Taosong He, Lichan Hong, Arie E. Kaufman, Hanspete...
We argue that some of the computational complexity associated with estimation of stochastic attributevalue grammars can be reduced by training upon an informative subset of the fu...
Performance and dependability evaluation of complex systems by means of dynamic stochastic models (e.g. Markov chains) may be impaired by the combinatorial explosion of their stat...
Souheib Baarir, Marco Beccuti, Claude Dutheillet, ...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...