Combining Model Learning and Data Analysis to Generate Models of Component-Based Systems.
Sébastien SalvaElliott BlotPatrice LaurençotPublished in: ICTSS (2018)
Keyphrases
- prior knowledge
- learning models
- computational models
- probabilistic model
- accurate models
- data analysis
- learned models
- hidden variables
- learning systems
- complex systems
- mathematical model
- latent variable models
- learning scheme
- multiple models
- classification models
- computational model
- experimental data
- prediction model
- modeling framework
- mathematical models
- autoregressive
- hybrid model
- statistical model
- management system
- data processing
- machine learning
- biological systems
- parametric models
- cognitive models
- analytical models
- bayesian framework
- machine learning algorithms
- statistical models
- learning tasks
- fully connected
- physical systems
- reactive systems
- neural network
- structured prediction
- learning mechanism
- neural nets
- metamodel
- linear regression
- parameter estimation
- model selection
- supervised learning
- learning process
- bayesian networks
- training data