Human-Generated Explanations of Inferences in Bayesian Networks: A Case Study.
Marko TesicUlrike HahnPublished in: CogSci (2020)
Keyphrases
- human generated
- bayesian networks
- case study
- incomplete data
- random variables
- expert knowledge
- conditional independence
- approximate inference
- conditional probabilities
- generating explanations
- inference in bayesian networks
- probabilistic inference
- probabilistic model
- test bed
- probability distribution
- causal models
- structure learning
- artificial intelligence
- information retrieval
- graphical models
- hidden variables
- parameter learning
- complex domains
- bayesian network classifiers
- genetic algorithm
- bayesian network inference