"Deep" Learning for Missing Value Imputationin Tables with Non-Numerical Data.
Felix BießmannDavid SalinasSebastian SchelterPhilipp SchmidtDustin LangePublished in: CIKM (2018)
Keyphrases
- numerical data
- deep learning
- missing values
- categorical data
- missing data
- data imputation
- data sets
- unsupervised feature learning
- unsupervised learning
- mental models
- machine learning
- high dimensional data
- incomplete data sets
- incomplete data
- database
- multiscale
- decision trees
- computer vision
- learning algorithm
- information retrieval
- weakly supervised
- real world