Neumann networks: differential programming for supervised learning with missing values.
Marine Le MorvanJulie JosseThomas MoreauErwan ScornetGaël VaroquauxPublished in: CoRR (2020)
Keyphrases
- missing values
- supervised learning
- missing data
- missing data imputation
- incomplete data
- data imputation
- data matrix
- high dimensional data
- unsupervised learning
- incomplete data sets
- training data
- exponential family
- missing information
- data sets
- semi supervised
- active learning
- feature values
- learning algorithm
- machine learning
- high dimensional
- class labels
- training set
- multiple imputation
- database