Latent Gaussian-Multinomial Generative Model for Annotated Data.
Shuoran JiangYarui ChenZhifei QinJucheng YangTingting ZhaoChuanlei ZhangPublished in: PAKDD (1) (2019)
Keyphrases
- generative model
- probabilistic model
- latent variables
- em algorithm
- expectation maximization
- maximum likelihood
- gaussian mixture
- latent structure
- latent space
- mixture model
- gaussian distribution
- generative process
- bayesian framework
- discriminative learning
- topic models
- prior knowledge
- graphical models
- posterior probability
- latent dirichlet allocation
- latent variable models
- text classification
- hidden variables
- semi supervised
- bayesian networks
- posterior distribution
- parameter estimation
- text categorization
- discriminative models
- latent topics
- image segmentation
- data sets
- probabilistic latent semantic analysis
- learned models
- gaussian process
- language modeling
- probability density function