Sampling, Intervention, Prediction, Aggregation: A Generalized Framework for Model-Agnostic Interpretations.
Christian A. ScholbeckChristoph MolnarChristian HeumannBernd BischlGiuseppe CasalicchioPublished in: PKDD/ECML Workshops (1) (2019)
Keyphrases
- modeling framework
- theoretical framework
- decision model
- computational model
- prediction model
- high level
- formal model
- probabilistic model
- bayesian framework
- computational framework
- conceptual framework
- theoretical foundation
- main contribution
- experimental data
- neural network model
- probability distribution
- objective function
- unified model
- neural network
- generic model
- sequential monte carlo
- context dependent
- random sampling
- mathematical model
- state space
- artificial neural networks
- decision trees
- learning algorithm