Probabilistic Forecasting using Deep Generative Models.
Alessandro FanfarilloBehrooz RoozitalabWeiming HuGuido CervonePublished in: CoRR (2019)
Keyphrases
- generative model
- probabilistic model
- mixture model
- posterior probability
- em algorithm
- prior knowledge
- discriminative models
- expectation maximization
- conditional random fields
- latent dirichlet allocation
- maximum entropy principle
- topic models
- object categories
- hierarchical hidden markov models
- deep belief networks
- semi supervised
- latent variables
- learning tasks
- hidden variables
- graphical models
- training set
- generative and discriminative models
- decision trees