GP-based Feature Selection and Weighted KNN-based Instance Selection for Symbolic Regression with Incomplete Data.
Baligh Al-HelaliQi ChenBing XueMengjie ZhangPublished in: SSCI (2020)
Keyphrases
- instance selection
- symbolic regression
- incomplete data
- knn
- genetic programming
- nearest neighbor
- feature selection
- k nearest neighbor
- k nearest neighbour
- text classification
- missing values
- missing data
- text categorization
- fitness function
- bayesian networks
- classification accuracy
- high dimensional data
- regression problems
- em algorithm
- classification algorithm
- support vector machine
- hyperparameters
- multi class
- evolutionary algorithm
- nearest neighbour
- naive bayes
- neural network
- genetic algorithm
- semi supervised learning
- information gain
- concept drift
- training data
- multiple instance learning
- mutual information
- feature space
- data points
- training set
- model selection
- data sets
- feature extraction
- supervised learning
- machine learning