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» Using Cell-DEVS for Modeling Complex Cell Spaces
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144
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IJUFKS
2000
111views more  IJUFKS 2000»
15 years 3 months ago
A Factorized Representation of Independence of Causal Influence and Lazy Propagation
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Anders L. Madsen, Bruce D'Ambrosio
162
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DSN
2011
IEEE
14 years 3 months ago
Approximate analysis of blocking queueing networks with temporal dependence
—In this paper we extend the class of MAP queueing networks to include blocking models, which are useful to describe the performance of service instances which have a limited con...
Vittoria de Nitto Persone, Giuliano Casale, Evgeni...
166
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Publication
397views
16 years 5 months ago
Build it but where? A GIS methodology for guiding the planning of new cycling facilities
Concern over climate change, traffic congestion, and the health consequences of sedentary lifestyles has resulted in a surge of interest in cycling as an efficient form of urban ...
Larsen, J. & El-Geneidy, M.
139
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BMCBI
2007
172views more  BMCBI 2007»
15 years 3 months ago
Bayesian approaches to reverse engineer cellular systems: a simulation study on nonlinear Gaussian networks
Background: Reverse engineering cellular networks is currently one of the most challenging problems in systems biology. Dynamic Bayesian networks (DBNs) seem to be particularly su...
Fulvia Ferrazzi, Paola Sebastiani, Marco Ramoni, R...
118
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CSDA
2007
87views more  CSDA 2007»
15 years 3 months ago
Estimation and inference in functional mixed-effects models
Functional mixed-effects models are very useful in analyzing functional data. A general functional mixed-effects model that inherits the flexibility of linear mixed-effects model...
Anestis Antoniadis, Theofanis Sapatinas