Genetic programming for borderline instance detection in high-dimensional unbalanced classification.
Wenbin PeiBing XueLin ShangMengjie ZhangPublished in: GECCO (2021)
Keyphrases
- genetic programming
- high dimensional
- classification rules
- classification scheme
- classification method
- machine learning
- automatic detection
- feature space
- similarity search
- automatic classification
- high dimensionality
- classification accuracy
- support vector
- training samples
- pattern recognition
- decision trees
- feature selection
- regression problems
- symbolic regression
- feature vectors
- detection method
- gene expression programming
- fitness function
- classification models
- object detection
- high dimension
- financial forecasting
- feature extraction and classification
- false alarms
- pattern classification
- training set
- image classification
- supervised learning
- evolutionary computation
- feature extraction
- parameter space
- cross validation
- false positives
- data sets
- class imbalance
- high dimensional data
- model selection
- text classification
- low dimensional
- small sample size
- dimensionality reduction