Using Deep Neural Network Approximate Bayesian Network.
Jie JiaHonggang ZhouYunchun LiPublished in: CoRR (2018)
Keyphrases
- neural network
- bayesian networks
- artificial neural networks
- learning bayesian networks
- graphical models
- back propagation
- pattern recognition
- learning vector quantization
- probabilistic reasoning
- probabilistic inference
- neural nets
- neural network model
- naive bayes
- probabilistic model
- fuzzy artmap
- bayesian network structure
- conditional probabilities
- feed forward
- incomplete data
- multi layer
- training algorithm
- inference in bayesian networks
- causal relationships
- neural network is trained
- auto associative
- influence diagrams
- backpropagation neural network
- image reconstruction from projections
- diagnostic reasoning
- feedforward neural networks
- structure learning
- fuzzy neural network
- bp neural network
- genetic algorithm
- machine learning