: A library for Bayesian neural network inference with different prior distributions.
Vincent FortuinAdrià Garriga-AlonsoMark van der WilkLaurence AitchisonPublished in: Softw. Impacts (2021)
Keyphrases
- neural network
- bayesian inference
- bayesian networks
- artificial neural networks
- statistical inference
- neural network model
- bayesian model
- bayesian models
- posterior distribution
- bayesian model selection
- variational inference
- bp neural network
- neural nets
- pattern recognition
- fault diagnosis
- back propagation
- markov chain monte carlo
- inference engine
- inference process
- multilayer perceptron
- probability distribution
- posterior probability
- bayesian decision
- network model
- network architecture
- image reconstruction from projections
- evidential reasoning
- auto associative
- belief nets
- bayesian learning
- decision theoretic
- gaussian processes
- multi layer
- random fields
- incremental learning
- recurrent neural networks
- feed forward
- model selection
- digital libraries