Genetic Programming for Imputation Predictor Selection and Ranking in Symbolic Regression with High-Dimensional Incomplete Data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: Australasian Conference on Artificial Intelligence (2019)
Keyphrases
- symbolic regression
- genetic programming
- incomplete data
- missing values
- missing data
- high dimensional
- multiple imputation
- high dimensional data
- learning bayesian networks
- gene expression programming
- incomplete data sets
- grammatical evolution
- fitness function
- evolutionary computation
- bayesian networks
- low dimensional
- evolutionary algorithm
- dimensionality reduction
- hyperparameters
- regression problems
- software package
- em algorithm
- neural network
- genetic algorithm
- parameter optimization
- nearest neighbor
- multi class
- sample size