Hessian Complexity Measure for Genetic Programming-Based Imputation Predictor Selection in Symbolic Regression with Incomplete Data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: EuroGP (2020)
Keyphrases
- genetic programming
- symbolic regression
- incomplete data
- missing values
- missing data
- multiple imputation
- learning bayesian networks
- gene expression programming
- grammatical evolution
- fitness function
- evolutionary computation
- bayesian networks
- evolutionary algorithm
- incomplete data sets
- hyperparameters
- regression problems
- em algorithm
- statistical databases
- software package
- parameter optimization
- genetic algorithm
- differential evolution
- data sets
- active learning
- data analysis
- neural network