A Genetic Programming-based Wrapper Imputation Method for Symbolic Regression with Incomplete Data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: SSCI (2019)
Keyphrases
- symbolic regression
- incomplete data
- genetic programming
- missing values
- imputation methods
- missing data
- fitness function
- multiple imputation
- evolutionary computation
- feature selection
- gene expression programming
- grammatical evolution
- regression problems
- genetic algorithm
- em algorithm
- high dimensional data
- evolutionary algorithm
- hyperparameters
- software package
- open source
- bayesian networks
- data mining
- neural network