Bayesian Model and Feature Selection in Asymmetric Generalized Gaussian Mixtures.
Ravi Teja VemuriMuhammad AzamNizar BouguilaZachary PattersonPublished in: ICIT (2022)
Keyphrases
- bayesian model
- gaussian mixture
- feature selection
- expectation maximization
- bayesian framework
- bayesian inference
- minimum classification error
- gaussian mixture model
- em algorithm
- probability density function
- covariance matrix
- conditional probabilities
- closed form
- posterior distribution
- multi task learning
- density estimation
- multi task
- maximum likelihood
- text classification
- mixture model
- unsupervised learning
- probabilistic model
- computer vision
- image processing
- feature extraction
- feature space
- feature set
- model selection
- prior information
- multi class
- knn
- semi supervised learning
- prior knowledge
- support vector
- bayesian networks
- image segmentation
- data mining
- parameter estimation