An Ensemble-Based Weight-Learning Framework and Algorithm for Imputing Missing Values on High-Dimension Low-Sample Size Datasets.
Chun-Kit NganBoyuan YangPublished in: HPCC/DSS/SmartCity/DependSys (2021)
Keyphrases
- missing values
- learning algorithm
- high dimension
- sample size
- statistical hypothesis testing
- incomplete data
- small sample
- worst case
- np hard
- data imputation
- model selection
- missing data
- probabilistic model
- classification algorithm
- pattern recognition
- random sampling
- optimal solution
- computational complexity
- real valued
- hyperparameters
- objective function
- feature selection
- machine learning