Identifiable Generative Models for Missing Not at Random Data Imputation.
Chao MaCheng ZhangPublished in: CoRR (2021)
Keyphrases
- generative model
- data imputation
- missing values
- missing data
- probabilistic model
- incomplete data
- discriminative learning
- mixture model
- discriminative models
- prior knowledge
- conditional random fields
- imputation methods
- hierarchical hidden markov models
- generative and discriminative models
- object categories
- topic models
- expectation maximization
- high dimensional data
- em algorithm
- representational power
- object categorization
- maximum likelihood
- semi supervised
- feature vectors
- computer vision