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» Learning Behavior Models for Hybrid Timed Systems
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111
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BMCBI
2007
182views more  BMCBI 2007»
15 years 23 days ago
Hybrid elementary flux analysis/nonparametric modeling: application for bioprocess control
Background: The progress in the "-omic" sciences has allowed a deeper knowledge on many biological systems with industrial interest. This knowledge is still rarely used ...
Ana P. Teixeira, Carlos Alves, Paula M. Alves, Man...
88
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GECCO
2005
Springer
119views Optimization» more  GECCO 2005»
15 years 6 months ago
A new evolutionary method for time series forecasting
This paper presents a new method — the Time-delay Added Evolutionary Forecasting (TAEF) method — for time series prediction which performs an evolutionary search of the minimu...
Tiago A. E. Ferreira, Germano C. Vasconcelos, Paul...
105
Voted
ASPLOS
2010
ACM
15 years 7 months ago
Request behavior variations
A large number of user requests execute (often concurrently) within a server system. A single request may exhibit fluctuating hardware characteristics (such as instruction comple...
Kai Shen
131
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JIRS
2008
100views more  JIRS 2008»
15 years 19 days ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
CEC
2007
IEEE
15 years 7 months ago
An investigation into dynamic problem solving in a hybrid evolutionary market-based multi-agent system
— Static resources allocation problems have been widely studied. More recently some of this attention has changed to focus on dynamic problems, where problem specifications, con...
D. J. Cornforth