A Regression-like Classification System for Geometric Semantic Genetic Programming.
Illya BakurovMauro CastelliFrancesco FontanellaLeonardo VanneschiPublished in: IJCCI (2019)
Keyphrases
- genetic programming
- regression problems
- symbolic regression
- classification rules
- support vector
- classification scheme
- fitness function
- image classification
- classification accuracy
- decision trees
- model selection
- pattern recognition
- support vector machine
- pattern classification
- feature extraction
- text classification
- gene expression programming
- support vector machine svm
- classification method
- classification algorithm
- linear regression
- machine learning
- machine learning algorithms
- domain specific
- supervised learning
- feature selection
- svm classifier
- ensemble methods
- mercer kernels
- neural network
- target variable
- preprocessing
- regression analysis
- feature vectors
- support vector regression
- multi class
- evolutionary computation
- semantic information
- cross validation