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» A Framework for Network Modeling in Prolog
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BIOCOMP
2007
15 years 5 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...
JMLR
2008
209views more  JMLR 2008»
15 years 4 months ago
Bayesian Inference and Optimal Design for the Sparse Linear Model
The linear model with sparsity-favouring prior on the coefficients has important applications in many different domains. In machine learning, most methods to date search for maxim...
Matthias W. Seeger
TNN
2010
174views Management» more  TNN 2010»
14 years 10 months ago
Equivalences between neural-autoregressive time series models and fuzzy systems
Soft computing (SC) emerged as an integrating framework for a number of techniques that could complement one another quite well (artificial neural networks, fuzzy systems, evolutio...
José Luis Aznarte, José Manuel Ben&i...
QUESTA
2006
100views more  QUESTA 2006»
15 years 4 months ago
A queueing analysis of max-min fairness, proportional fairness and balanced fairness
We compare the performance of three usual allocations (max-min fairness, proportional fairness and balanced fairness) in a communication network whose resources are shared by a ra...
Thomas Bonald, Laurent Massoulié, Alexandre...
MSWIM
2005
ACM
15 years 9 months ago
YAES: a modular simulator for mobile networks
Developing network protocols for mobile wireless systems is a complex task, and most of the existing simulator frameworks are not well suited for experimental development. The YAE...
Ladislau Bölöni, Damla Turgut