On the consistency of supervised learning with missing values.
Julie JosseNicolas ProstErwan ScornetGaël VaroquauxPublished in: CoRR (2019)
Keyphrases
- missing values
- supervised learning
- missing data
- unsupervised learning
- data imputation
- incomplete data
- training data
- missing data imputation
- high dimensional data
- missing information
- active learning
- training set
- reinforcement learning
- exponential family
- learning algorithm
- labeled data
- data cleaning
- neural network
- multiple instance learning
- unlabeled data
- semi supervised
- data sets
- training examples
- data matrix
- multiple imputation
- pairwise