BLNN: An R package for training neural networks using Bayesian inference.
Taysseer SharafTheren WilliamsAbdallah A. ChehadeKeshav PokhrelPublished in: SoftwareX (2020)
Keyphrases
- bayesian inference
- neural network
- training process
- probabilistic model
- training algorithm
- prior information
- hyperparameters
- feedforward neural networks
- multi layer perceptron
- bayesian model
- variational inference
- gibbs sampler
- variational bayes
- particle filter
- hierarchical bayesian
- probabilistic modeling
- statistical inference
- training set
- hidden variables
- back propagation
- artificial neural networks
- prior distribution
- markov networks
- data sets
- weighted model counting
- expectation propagation
- model selection