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ECMDAFA
2009
Springer
109views Hardware» more  ECMDAFA 2009»
16 years 1 months ago
Uniform Random Generation of Huge Metamodel Instances
The size and the number of models is drastically increasing, preventing organizations from fully exploiting Model Driven Engineering benefits. Regarding this problem of scalabilit...
Alix Mougenot, Alexis Darrasse, Xavier Blanc, Mich...
IDA
2009
Springer
15 years 4 months ago
Estimating Hidden Influences in Metabolic and Gene Regulatory Networks
We address the applicability of blind source separation (BSS) methods for the estimation of hidden influences in biological dynamic systems such as metabolic or gene regulatory net...
Florian Blöchl, Fabian J. Theis
ER
2007
Springer
104views Database» more  ER 2007»
16 years 27 days ago
Improving Environmental Decision-making: Bridging the Gap between Conceptual Modelling and Quantitative Analyses with Quasta
With regard to environmental decision-making, the field of conceptual modelling is primarily focused on representation and visualisation. As such, the ‘soft’ problem structuri...
Frank van Kouwen, Carel Dieperink, Paul P. Schot, ...
ECCV
1994
Springer
15 years 10 months ago
Markov Random Field Models in Computer Vision
A variety of computer vision problems can be optimally posed as Bayesian labeling in which the solution of a problem is dened as the maximum a posteriori (MAP) probability estimate...
Stan Z. Li
DATE
2005
IEEE
114views Hardware» more  DATE 2005»
16 years 10 days ago
A Two-Level Modeling Approach to Analog Circuit Performance Macromodeling
In this paper, we present a two-level modeling approach to performance macromodeling based on radial basis function Support Vector Machine (SVM). The two-level model consists of a...
Mengmeng Ding, Ranga Vemuri