A comparative study of stochastic and deep generative models for multisite precipitation synthesis.
Jorge Guevara DiazDario BorgesCampbell D. WatsonBianca ZadroznyPublished in: CoRR (2021)
Keyphrases
- generative model
- probabilistic model
- mixture model
- discriminative models
- discriminative learning
- human hair
- prior knowledge
- em algorithm
- hierarchical hidden markov models
- conditional random fields
- semi supervised
- maximum entropy principle
- deep belief networks
- topic models
- generative and discriminative models
- hidden variables
- graphical models
- boltzmann machine
- data sets
- similarity measure
- representational power
- semi supervised learning
- object recognition
- reinforcement learning
- bayesian networks
- machine learning