Imputation of Missing Values in Training Data using Variational Autoencoder.
Xuerui HongShuang HaoPublished in: ICDEW (2023)
Keyphrases
- missing values
- data matrix
- training data
- missing attribute values
- incomplete data
- missing data
- noisy data
- data imputation
- feature values
- unseen data
- multiple imputation
- missing data imputation
- decision trees
- learning algorithm
- training set
- high dimensional data
- missing information
- test data
- data sets
- training examples
- imputation methods
- image segmentation
- incomplete data sets
- test set
- supervised learning
- support vector machine
- labeled data
- optical flow
- pattern recognition
- dimensionality reduction
- classification accuracy
- active learning
- prior knowledge
- support vector
- neural network