Embedding for Informative Missingness: Deep Learning With Incomplete Data.
Amirata GhorbaniJames Y. ZouPublished in: Allerton (2018)
Keyphrases
- deep learning
- incomplete data
- missing data
- missing values
- learning bayesian networks
- unsupervised learning
- unsupervised feature learning
- machine learning
- incomplete data sets
- mental models
- deep architectures
- em algorithm
- weakly supervised
- neural network
- data sets
- semi supervised
- active learning
- pairwise
- bayesian networks
- data mining
- imputation methods