Fully Bayesian Libby-Novick Beta Mixture Model with Feature Selection.
Kian KetabchiNarges ManouchehriNizar BouguilaPublished in: ICIT (2022)
Keyphrases
- mixture model
- fully bayesian
- generative model
- feature selection
- maximum likelihood
- model selection
- gaussian process
- em algorithm
- gaussian mixture model
- unsupervised learning
- probabilistic model
- expectation maximization
- parameter estimation
- markov chain monte carlo
- text classification
- machine learning
- bayesian framework
- prior knowledge
- feature space
- posterior distribution
- hyperparameters
- language model
- feature set
- cross validation
- dimensionality reduction
- semi supervised
- support vector
- probability density function
- maximum a posteriori
- posterior probability
- conditional random fields
- regression model
- graphical models
- markov random field
- information retrieval