A Bayesian Nonparametric Approach to Multilevel Regression.
Vu NguyenDinh Q. PhungSvetha VenkateshHung Hai BuiPublished in: PAKDD (1) (2015)
Keyphrases
- bayesian nonparametric
- gaussian process
- regression model
- inverse reinforcement learning
- mixture model
- gaussian processes
- model selection
- variational inference
- hierarchical dirichlet process
- bayesian inference
- topic models
- approximate inference
- support vector
- dirichlet process
- latent dirichlet allocation
- hidden markov models
- em algorithm