Autoencoder-based multi-task learning for imputation and classification of incomplete data.
Xiaochen LaiXia WuLiyong ZhangPublished in: Appl. Soft Comput. (2021)
Keyphrases
- incomplete data
- multi task learning
- multiple imputation
- missing values
- missing data
- variational bayesian
- incomplete data sets
- multi task
- bayesian networks
- pattern recognition
- statistical databases
- em algorithm
- feature selection
- learning tasks
- support vector
- classification accuracy
- feature space
- feature extraction
- gaussian processes
- machine learning
- imputation methods
- model selection
- data sets
- support vector machine
- decision trees
- closed form
- cross validation
- classification models
- theoretical analysis
- hyperparameters
- text classification
- active learning
- feature vectors
- training set
- data mining