Bayesian neural network unit priors and generalized Weibull-tail property.
Mariia VladimirovaJulyan ArbelStéphane GirardPublished in: ACML (2021)
Keyphrases
- neural network
- prior distribution
- heavy tailed
- bayesian models
- back propagation
- neural network model
- dirichlet prior
- prior probabilities
- artificial neural networks
- dirichlet distribution
- pattern recognition
- maximum likelihood
- neural network is trained
- genetic algorithm
- training algorithm
- posterior probability
- bayesian framework
- radial basis function
- bayesian networks
- prior information
- multilayer perceptron
- log normal
- posterior distribution
- fault diagnosis
- data driven
- fuzzy logic
- probabilistic model
- scoring metrics
- lipschitz continuity
- bayesian estimation
- feed forward neural networks
- power law
- decision theory
- multi layer
- bayesian inference
- associative memory
- self organizing maps
- mixture model