Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison.
Zhenhua WangOlanrewaju AkandeJason PoulosFan LiPublished in: CoRR (2021)
Keyphrases
- learning models
- missing data imputation
- machine learning
- missing values
- learning tasks
- learning algorithm
- loss function
- semi supervised learning
- classification models
- machine learning algorithms
- learning problems
- neural network
- conditional random fields
- reinforcement learning
- data preparation
- data sets
- missing data
- unlabeled data
- nearest neighbor
- pattern recognition
- support vector