Extended variational inference for gamma mixture model in positive vectors modeling.
Yuping LaiHuirui CaoLijuan LuoYongmei ZhangFukun BiXiaolin GuiYuan PingPublished in: Neurocomputing (2021)
Keyphrases
- mixture model
- variational inference
- bayesian nonparametric
- probabilistic model
- gaussian mixture model
- em algorithm
- bayesian inference
- expectation maximization
- density estimation
- exponential family
- model selection
- generative model
- maximum likelihood
- topic models
- hierarchical dirichlet process
- posterior distribution
- dirichlet process
- unsupervised learning
- language model
- probability density function
- latent dirichlet allocation
- gaussian process
- parameter estimation
- variational methods
- approximate inference
- regression model
- information retrieval
- feature vectors
- training data
- computer vision