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» Modelling of Complex Supply Networks
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BMCBI
2007
136views more  BMCBI 2007»
15 years 3 months ago
Reduced modeling of signal transduction - a modular approach
Background: Combinatorial complexity is a challenging problem in detailed and mechanistic mathematical modeling of signal transduction. This subject has been discussed intensively...
Markus Koschorreck, Holger Conzelmann, Sybille Ebe...
SCHEDULING
2010
137views more  SCHEDULING 2010»
15 years 2 months ago
Criticality analysis of activity networks under interval uncertainty
This paper reconsiders the PERT scheduling problem when information about task duration is incomplete. We model uncertainty on task durations by intervals. With this problem formu...
Jérôme Fortin, Pawel Zielinski, Didie...
155
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INFORMS
1998
142views more  INFORMS 1998»
15 years 3 months ago
Distributed State Space Generation of Discrete-State Stochastic Models
High-level formalisms such as stochastic Petri nets can be used to model complex systems. Analysis of logical and numerical properties of these models often requires the generatio...
Gianfranco Ciardo, Joshua Gluckman, David M. Nicol
ICCV
2007
IEEE
16 years 5 months ago
Supervised Learning of Image Restoration with Convolutional Networks
Convolutional networks have achieved a great deal of success in high-level vision problems such as object recognition. Here we show that they can also be used as a general method ...
Viren Jain, Joseph F. Murray, Fabian Roth, Sriniva...
IWANN
2009
Springer
15 years 8 months ago
Easing the Smart Home: Translating Human Hierarchies to Intelligent Environments
Abstract. Ubiquitous computing research have extended traditional environments in the so–called Intelligent Environments. All of them use their capabilities for pursuing their in...
Manuel García-Herranz, Pablo A. Haya, Xavie...