On the relative expressiveness of Bayesian and neural networks.
Arthur ChoiRuocheng WangAdnan DarwichePublished in: Int. J. Approx. Reason. (2019)
Keyphrases
- neural network
- pattern recognition
- back propagation
- neural network model
- expressive power
- artificial neural networks
- bayesian networks
- maximum likelihood
- multi layer
- data driven
- self organizing maps
- activation function
- recurrent neural networks
- neural nets
- computational properties
- bayesian decision
- bayesian estimation
- cellular neural networks
- bayesian analysis
- training algorithm
- training process
- posterior probability
- fault diagnosis
- support vector
- case study
- website
- genetic algorithm