Learning to Explain: A Model-Agnostic Framework for Explaining Black Box Models.
Oren BarkanYuval AsherAmit EshelYehonatan ElishaNoam KoenigsteinPublished in: CoRR (2023)
Keyphrases
- black box
- probabilistic model
- modeling framework
- learned models
- accurate models
- learning models
- learning scheme
- mathematical framework
- theoretical framework
- metamodel
- learning frameworks
- computational model
- prior knowledge
- generic model
- statistical model
- experimental data
- bayesian framework
- learning mechanism
- high level
- latent variable models
- databases
- parameter estimation
- learning algorithm
- database
- classification models
- incremental learning
- dynamic bayesian networks
- computational models
- structured prediction
- artificial intelligence
- conceptual model
- process model
- multi agent systems