Unsupervised Learning Using Expectation Propagation Inference of Inverted Beta-Liouville Mixture Models for Pattern Recognition Applications.
Sami BourouisNizar BouguilaPublished in: Cybern. Syst. (2023)
Keyphrases
- mixture model
- expectation propagation
- unsupervised learning
- density estimation
- pattern recognition
- gaussian mixture model
- variational bayes
- dimensionality reduction
- gaussian process
- dirichlet distribution
- expectation maximization
- machine learning
- model selection
- bayesian inference
- supervised learning
- semi supervised
- log likelihood
- approximate inference
- image processing
- probability density function
- em algorithm
- object recognition
- exponential family
- feature selection
- probabilistic model
- feature extraction
- bayesian framework
- hyperparameters
- generative model
- sample size
- probability distribution
- prior knowledge
- pairwise
- information retrieval