Model Interpretation and Explainability towards Creating Transparency in Prediction Models.
Daniel R. DolkDonald J. KridelJacob DineenDavid G. CastilloPublished in: HICSS (2020)
Keyphrases
- prediction model
- statistical models
- statistical model
- probabilistic model
- predictive model
- parameter estimation
- mathematical model
- metamodel
- neural network model
- experimental data
- high level
- classification models
- modeling framework
- generic model
- linear regression
- stochastic model
- parametric models
- random fields
- model fitting
- modeling method
- hybrid model
- computational model
- domain models
- prior knowledge
- accurate models
- neural network
- models built
- gaussian processes
- mathematical models
- learning models
- simulation model
- model selection
- em algorithm
- probability distribution
- learning algorithm