A new imputation method based on genetic programming and weighted KNN for symbolic regression with incomplete data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: Soft Comput. (2021)
Keyphrases
- symbolic regression
- genetic programming
- imputation methods
- knn
- k nearest neighbour
- incomplete data
- missing values
- k nearest neighbor
- missing data
- multiple imputation
- fitness function
- evolutionary computation
- text categorization
- gene expression programming
- evolutionary algorithm
- nearest neighbor
- text classification
- support vector machine svm
- classification algorithm
- nearest neighbour
- regression problems
- neural network
- feature selection
- hyperparameters
- bayesian networks
- distance function
- information gain
- probabilistic model
- parameter optimization
- genetic algorithm
- data mining
- multi class