On Latent Distributions Without Finite Mean in Generative Models.
Damian LesniakIgor SieradzkiIgor T. PodolakPublished in: CoRR (2018)
Keyphrases
- generative model
- generative process
- latent space
- probabilistic model
- mixture model
- discriminative learning
- discriminative learning framework
- prior knowledge
- latent structure
- em algorithm
- latent dirichlet allocation
- probability distribution
- topic models
- conditional random fields
- latent variables
- maximum entropy principle
- discriminative models
- object categories
- posterior probability
- semi supervised
- generative and discriminative models
- machine learning
- hierarchical hidden markov models
- latent variable models
- exponential family
- hidden variables
- expectation maximization
- training data
- image processing
- learning algorithm