Bayesian Estimation of Inverted Beta Mixture Models With Extended Stochastic Variational Inference for Positive Vector Classification.
Yuping LaiWenbo GuanLijuan LuoYanhui GuoHeping SongHongying MengPublished in: IEEE Trans. Neural Networks Learn. Syst. (2024)
Keyphrases
- variational inference
- mixture model
- bayesian estimation
- posterior distribution
- density estimation
- model selection
- unsupervised learning
- bayesian inference
- feature vectors
- parameter estimation
- em algorithm
- gaussian mixture model
- latent variables
- generative model
- probability distribution
- probabilistic model
- topic models
- exponential family
- hyperparameters
- probabilistic graphical models
- incremental learning
- bayesian framework
- closed form
- maximum a posteriori
- machine learning
- expectation maximization
- language model
- gaussian process
- hidden variables
- variational methods
- latent dirichlet allocation
- probability density function
- maximum likelihood
- feature selection
- supervised learning
- learning algorithm
- decision trees
- feature extraction
- support vector machine
- image segmentation
- higher order