Removing the assumption of conditional independence from Bayesian decision models by using artificial neural networks: some practical techniques and a case study.
Y. C. WuD. H. GustafsonPublished in: Artif. Intell. Medicine (1994)
Keyphrases
- using artificial neural networks
- conditional independence
- decision models
- bayesian networks
- influence diagrams
- probabilistic reasoning
- graphical models
- random variables
- decision model
- artificial neural networks
- probability distribution
- decision theoretic
- directed acyclic graph
- structure learning
- neural network model
- model construction
- causal models
- axiomatic characterization
- posterior probability
- probabilistic inference
- learning algorithm
- decision problems
- maximum likelihood
- expected utility
- decision theory
- probabilistic model
- artificial intelligence
- neural network
- conditional probabilities
- theoretical framework
- decision making
- machine learning