Radial and Directional Posteriors for Bayesian Neural Networks.
ChangYong OhKamil AdamczewskiMijung ParkPublished in: CoRR (2019)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- bayesian inference
- pattern recognition
- artificial neural networks
- bayesian framework
- fuzzy logic
- bayesian learning
- neural nets
- multi layer
- gaussian processes
- hopfield neural network
- latent variables
- directional features
- probability distribution
- bayesian networks
- multi layer perceptron
- bayesian decision
- genetic algorithm
- feed forward
- maximum likelihood
- data sets
- fuzzy systems
- training process
- neural network model
- markov networks
- pixel wise
- bayesian methods
- fault diagnosis
- back propagation
- particle filter
- adaptive resonance theory
- video sequences