Scaling Posterior Distributions over Differently-Curated Datasets: A Bayesian-Neural-Networks Methodology.
Alfredo CuzzocreaSelim SoufargiAlessandro BaldoEdoardo FaddaPublished in: ISMIS (2022)
Keyphrases
- posterior distribution
- neural network
- bayesian learning
- probability distribution
- parameter estimation
- latent variables
- prior distribution
- bayesian framework
- maximum a posteriori
- posterior probability
- bayesian model
- hyperparameters
- markov chain monte carlo
- variational inference
- markov random field
- gaussian distribution
- metropolis hastings
- maximum likelihood
- expectation maximization
- markov chain monte carlo methods
- fully bayesian
- cross validation
- probabilistic model
- prior knowledge
- bayesian networks
- decision trees