Bayesian Neural Network Priors Revisited.
Vincent FortuinAdrià Garriga-AlonsoFlorian WenzelGunnar RätschRichard E. TurnerMark van der WilkLaurence AitchisonPublished in: CoRR (2021)
Keyphrases
- neural network
- prior distribution
- bayesian framework
- prior probabilities
- posterior distribution
- bayesian models
- artificial neural networks
- belief nets
- back propagation
- data driven
- neural network model
- bayesian networks
- posterior probability
- fuzzy logic
- feed forward
- learning vector quantization
- bayesian estimation
- pattern recognition
- multi layer perceptron
- auto associative
- training algorithm
- maximum likelihood
- maximum a posteriori
- radial basis function
- fermentation process
- dirichlet prior
- neural network is trained
- learned from training data
- bayesian approaches
- backpropagation neural network
- parametric models
- multilayer perceptron
- recurrent neural networks
- neural nets
- multi layer
- feed forward neural networks
- bayesian learning
- decision theory
- network architecture