Supervised Hierarchical Dirichlet Processes with Variational Inference.
Cheng ZhangCarl Henrik EkXavi GratalFlorian T. PokornyHedvig KjellströmPublished in: ICCV Workshops (2013)
Keyphrases
- variational inference
- hierarchical dirichlet processes
- bayesian inference
- gaussian process
- topic models
- probabilistic model
- mixture model
- closed form
- posterior distribution
- latent dirichlet allocation
- variational methods
- probabilistic graphical models
- semi supervised
- exact inference
- multi task learning
- gaussian processes
- learning algorithm
- feature selection
- exponential family
- unsupervised learning
- approximate inference
- machine learning
- factor graphs
- latent variables
- generative model
- graphical models
- prior information
- expectation maximization
- semi supervised learning
- co occurrence
- bayesian networks
- belief propagation
- density estimation
- posterior probability