Splitting Models Using Information Retrieval and Model Crawling Techniques.
Daniel StrüberJulia RubinGabriele TaentzerMarsha ChechikPublished in: FASE (2014)
Keyphrases
- probabilistic model
- experimental data
- modeling framework
- computational model
- information retrieval
- neural network model
- generic model
- statistical model
- parameter estimation
- model fitting
- management system
- stochastic model
- mathematical model
- modeling method
- hybrid model
- learning models
- linear models
- metamodel
- prediction model
- model construction
- bayesian framework
- prior knowledge
- multiple models
- random fields
- high level
- learned models
- search engine
- monte carlo simulation
- mathematical models
- relevance feedback
- computational models
- neural network
- hidden markov models
- probability distribution
- maximum likelihood
- graphical models
- markov random field