Improving Missing Data Imputation with Deep Generative Models.
Ramiro Daniel CaminoChristian A. HammerschmidtRadu StatePublished in: CoRR (2019)
Keyphrases
- generative model
- missing data imputation
- probabilistic model
- discriminative learning
- mixture model
- discriminative models
- bayesian framework
- hierarchical hidden markov models
- em algorithm
- conditional random fields
- missing values
- deep belief networks
- data sets
- expectation maximization
- semi supervised
- generative and discriminative models
- prior knowledge
- language model
- data preparation
- bayesian networks