Expressive Priors in Bayesian Neural Networks: Kernel Combinations and Periodic Functions.
Tim PearceRussell TsuchidaMohamed ZakiAlexandra BrintrupAndy NeelyPublished in: UAI (2019)
Keyphrases
- neural network
- artificial neural networks
- prior distribution
- bayesian framework
- gaussian processes
- bayesian models
- belief nets
- fuzzy logic
- kernel function
- hilbert space
- basis functions
- kernel methods
- posterior probability
- bayesian approaches
- multiple kernel learning
- neural network model
- pattern recognition
- genetic algorithm
- neural nets
- posterior distribution
- multilayer perceptron
- prior probabilities
- back propagation
- maximum likelihood
- feature space
- relevance vector machine