Variational Inference of Infinite Generalized Gaussian Mixture Models with Feature Selection.
Srikanth AmudalaSamr AliNizar BouguilaPublished in: SMC (2020)
Keyphrases
- variational inference
- gaussian mixture model
- mixture model
- feature selection
- model selection
- unsupervised learning
- em algorithm
- probabilistic model
- bayesian inference
- exponential family
- expectation maximization
- variational bayes
- density estimation
- feature space
- generative model
- maximum likelihood
- probabilistic graphical models
- latent dirichlet allocation
- text classification
- feature extraction
- language model
- closed form
- probability density function
- feature set
- feature vectors
- machine learning
- cross validation
- support vector
- topic models
- posterior distribution
- gaussian process
- graphical models
- parameter estimation
- semi supervised
- gaussian distribution
- log likelihood
- computer vision
- learning algorithm