Posterior Refinement Improves Sample Efficiency in Bayesian Neural Networks.
Agustinus KristiadiRuna EschenhagenPhilipp HennigPublished in: CoRR (2022)
Keyphrases
- neural network
- posterior distribution
- posterior probability
- pattern recognition
- artificial neural networks
- genetic algorithm
- maximum likelihood
- probability distribution
- fuzzy logic
- self organizing maps
- computational efficiency
- bayesian estimation
- data sets
- bayesian learning
- training process
- bayesian inference
- bayesian framework
- fault diagnosis
- computational complexity