Genetic Programming with Noise Sensitivity for Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: CEC (2020)
Keyphrases
- symbolic regression
- incomplete data
- genetic programming
- noise sensitivity
- missing values
- missing data
- multiple imputation
- gene expression programming
- fitness function
- evolutionary computation
- grammatical evolution
- em algorithm
- incomplete data sets
- bayesian networks
- hyperparameters
- evolutionary algorithm
- genetic algorithm
- software package
- statistical databases
- computer vision
- neural network
- pattern recognition