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» Modelling Variability for System Families
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158
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EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
15 years 1 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
143
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BMCBI
2010
122views more  BMCBI 2010»
15 years 3 months ago
An overview of the CellML API and its implementation
Background: CellML is an XML based language for representing mathematical models, in a machine-independent form which is suitable for their exchange between different authors, and...
Andrew K. Miller, Justin Marsh, Adam Reeve, Alan G...
CONCUR
2001
Springer
15 years 8 months ago
The Control of Synchronous Systems, Part II
Abstract. A controller is an environment for a system that achieves a particular control objective by providing inputs to the system without constraining the choices of the system....
Luca de Alfaro, Thomas A. Henzinger, Freddy Y. C. ...
SIGMETRICS
2009
ACM
126views Hardware» more  SIGMETRICS 2009»
15 years 10 months ago
Self-adaptive admission control policies for resource-sharing systems
We consider the problem of admission control in resource sharing systems, such as web servers and transaction processing systems, when the job size distribution has high variabili...
Varun Gupta, Mor Harchol-Balter
ICCV
2007
IEEE
16 years 5 months ago
Variational optimal control technique for the tracking of deformable objects
In this paper, a new framework for the tracking of closed curves is described. The proposed approach, formalized through an optimal control technique, enables a continuous trackin...
Nicolas Papadakis, Étienne Mémin