Dimensionality Reduction for Classification Using Divide-and-Conquer Based Genetic Programming.
Peng WangBing XueJing LiangMengjie ZhangPublished in: CEC (2024)
Keyphrases
- genetic programming
- dimensionality reduction
- classification rules
- pattern recognition
- high dimensionality
- regression problems
- classification scheme
- classification accuracy
- classification algorithm
- feature extraction
- support vector
- classification models
- automatic classification
- feature vectors
- support vector machine
- dimensionality reduction methods
- kernel learning
- high dimensional data
- feature space
- supervised learning
- pattern classification
- feature selection
- evolutionary computation
- evolutionary algorithm
- image classification
- benchmark datasets
- decision rules
- pattern recognition and machine learning
- financial forecasting
- grammar guided genetic programming
- training samples
- machine learning algorithms
- support vector machine svm
- neural network
- feature set
- data points
- training set
- decision trees
- machine learning