Models for model's sake: why explicit system models are also an end to themselves.
Oliver NiggemannJoachim StroopPublished in: ICSE (2008)
Keyphrases
- probabilistic model
- statistical models
- classification models
- parameter estimation
- statistical model
- autoregressive
- experimental data
- diffusion models
- modeling framework
- hybrid model
- computational models
- bayesian framework
- neural network model
- accurate models
- domain models
- prior knowledge
- modeling method
- random fields
- markov models
- parametric models
- statistical methods
- goodness of fit
- hierarchical model
- model construction
- monte carlo simulation
- diffusion model
- probability distribution
- prediction model
- mathematical model
- theoretical models
- nonlinear models
- mathematical models
- analytical model
- stochastic model
- linear models
- linear model
- neural network
- computational model
- model selection
- bayesian networks
- image sequences