A likelihood approach to nonparametric estimation of a singular distribution using deep generative models.
Minwoo ChaeDongha KimYongdai KimLizhen LinPublished in: CoRR (2021)
Keyphrases
- generative model
- nonparametric estimation
- posterior probability
- mixture model
- bayesian framework
- probabilistic model
- probability density function
- discriminative learning
- probability density
- em algorithm
- deep belief networks
- hierarchical hidden markov models
- discriminative models
- topic models
- prior knowledge
- semi supervised
- object categories
- generative and discriminative models
- conditional random fields
- information retrieval
- maximum likelihood
- probability distribution
- bayesian networks
- decision trees
- expectation maximization
- graphical models