Improving generalisation of genetic programming for high-dimensional symbolic regression with feature selection.
Qi ChenBing XueBen NiuMengjie ZhangPublished in: CEC (2016)
Keyphrases
- symbolic regression
- genetic programming
- high dimensional
- feature selection
- high dimensionality
- dimensionality reduction
- parameter optimization
- grammatical evolution
- feature space
- gene expression programming
- evolutionary computation
- fitness function
- regression problems
- evolutionary algorithm
- microarray data
- low dimensional
- genetic algorithm
- text categorization
- high dimensional data
- data sets
- software package
- support vector
- support vector machine
- data points
- machine learning
- classification models
- classification accuracy
- nearest neighbor
- open source
- parameter space
- multi task
- feature extraction
- decision trees
- text classification
- feature set