On MCMC Sampling in Bayesian MLP Neural Networks.
Aki VehtariSimo SärkkäJouko LampinenPublished in: IJCNN (1) (2000)
Keyphrases
- markov chain monte carlo
- mlp neural networks
- posterior distribution
- posterior probability
- bayesian inference
- monte carlo
- sampling algorithm
- metropolis hastings
- markov chain
- parameter estimation
- fuzzy artmap
- markov chain monte carlo sampling
- generative model
- proposal distribution
- importance sampling
- metropolis hastings algorithm
- particle filter
- probability distribution
- approximate inference
- radial basis function
- bayesian framework
- bayesian networks
- latent variables
- multi layer perceptron
- maximum a posteriori
- hyperparameters
- probabilistic model
- particle filtering
- incremental learning
- data association
- random sampling
- learning algorithm
- maximum likelihood
- graphical models
- pattern recognition
- feature extraction