Using complementary models-based approaches for representing and analysing ATM systems' variability.
Célia MartiniePhilippe A. PalanqueAlberto PasquiniMartina RagostaE. RigaudS. SilvagniPublished in: ATACCS (2012)
Keyphrases
- complex systems
- machine learning approaches
- design choices
- analytical models
- learning models
- decision trees
- real time
- prior knowledge
- probabilistic model
- mathematical models
- data driven approaches
- biological systems
- computational models
- retrieval systems
- knowledge based systems
- distributed systems
- expert systems
- statistical methods
- experimental data
- simulation models
- learned models
- management system
- subject specific
- case study