Consistency of posterior distributions for neural networks.
Herbert K. H. LeePublished in: Neural Networks (2000)
Keyphrases
- posterior distribution
- neural network
- latent variables
- probability distribution
- bayesian learning
- parameter estimation
- bayesian framework
- hyperparameters
- maximum a posteriori
- posterior probability
- variational inference
- gaussian distribution
- markov random field
- markov chain monte carlo
- model selection
- metropolis hastings
- probabilistic model
- random sampling
- bayesian inference
- sample size
- expectation maximization
- feature vectors
- support vector