Making inferences in incomplete Bayesian networks: A Dempster-Shafer belief function approach.
Prakash P. ShenoyPublished in: Int. J. Approx. Reason. (2023)
Keyphrases
- dempster shafer
- making inferences
- belief functions
- bayesian networks
- evidential reasoning
- incomplete data
- imprecise probabilities
- dempster shafer theory
- uncertain reasoning
- data dependencies
- utility theory
- probability theory
- graphical models
- conditional probabilities
- handling uncertainty
- probability function
- probabilistic model
- set valued
- probabilistic inference
- probability distribution
- conditional independence
- fuzzy numbers
- multi sensor
- missing values
- random variables
- missing data
- neural network
- markov tree
- probabilistic graphical models
- fuzzy logic
- multiresolution
- image processing
- artificial intelligence
- machine learning