Improving neural network's performance using Bayesian inference.
Jorge MoralesWen YuPublished in: Neurocomputing (2021)
Keyphrases
- bayesian inference
- neural network
- probabilistic model
- prior information
- hyperparameters
- bayesian model
- artificial neural networks
- variational inference
- back propagation
- variational bayes
- prior distribution
- neural network model
- hierarchical bayesian
- gibbs sampler
- inference process
- hidden variables
- statistical inference
- particle filter
- generative model
- probabilistic modeling
- expectation propagation
- bayesian models
- graphical models
- optimal solution
- learning algorithm
- machine learning