Generative Models for Stochastic Processes Using Convolutional Neural Networks.
Fernando Fernandes NetoPublished in: CoRR (2018)
Keyphrases
- stochastic processes
- generative model
- convolutional neural networks
- probabilistic model
- probability distribution
- random fields
- semi supervised
- discriminative learning
- mixture model
- em algorithm
- conditional random fields
- bayesian framework
- random variables
- prior knowledge
- expectation maximization
- discriminative models
- hidden variables
- posterior probability
- latent dirichlet allocation
- dynamic bayesian networks
- multiscale
- topic models
- markov random field