Emerging Bayesian Priors in a Self-Organizing Recurrent Network.
Andreea LazarGordon PipaJochen TrieschPublished in: ICANN (2) (2011)
Keyphrases
- recurrent networks
- neural network
- recurrent neural networks
- prior distribution
- prior probabilities
- bayesian approaches
- biologically inspired
- feed forward
- bayesian framework
- bayesian models
- data mining
- bayesian networks
- posterior distribution
- bayesian estimation
- belief nets
- data driven
- prior information
- dirichlet prior
- maximum likelihood
- posterior probability
- bayesian learning
- bayesian methods
- gaussian processes
- metropolis hastings algorithm
- bayesian decision
- database
- bayesian analysis
- bayesian inference
- generative model
- expectation maximization
- artificial neural networks
- data sets