Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
Tim PearceMohamed ZakiAlexandra BrintrupAndy NeelyPublished in: CoRR (2019)
Keyphrases
- neural network
- prior distribution
- artificial neural networks
- kernel function
- pattern recognition
- back propagation
- kernel methods
- fuzzy logic
- gaussian processes
- support vector
- bayesian networks
- multilayer perceptron
- prior probabilities
- bayesian approaches
- genetic algorithm
- feed forward
- bayesian framework
- prior information
- bayesian models
- self organizing maps
- convolution kernel
- bayesian learning
- prior model
- fuzzy systems
- posterior distribution
- bayesian inference
- recurrent neural networks
- posterior probability
- basis functions
- maximum likelihood
- feature space
- feature extraction
- machine learning