Expectation propagation for the diluted Bayesian classifier.
Alfredo BraunsteinThomas GueudréAndrea PagnaniMirko PieropanPublished in: CoRR (2020)
Keyphrases
- bayesian classifier
- expectation propagation
- gaussian process
- bayesian inference
- approximate inference
- density estimation
- variational bayes
- naive bayes
- decision trees
- bayesian methods
- graphical models
- learning algorithm
- hyperparameters
- belief propagation
- probabilistic model
- gaussian processes
- latent variables
- dynamic bayesian networks
- prior information
- probabilistic inference
- gaussian mixture model
- mixture model
- principal component analysis
- random sampling
- neural network
- parameter estimation
- text classification
- face recognition
- machine learning