Feature Extraction for Surrogate Models in Genetic Programming.
Martin PilátRoman NerudaPublished in: PPSN (2016)
Keyphrases
- genetic programming
- feature extraction
- fitness function
- evolutionary computation
- symbolic regression
- evolutionary algorithm
- feature vectors
- image processing
- gene expression programming
- image classification
- preprocessing
- genetic algorithm
- financial forecasting
- pattern classification
- principal component analysis
- frequency domain
- dimensionality reduction
- dimension reduction
- regression problems
- evolutionary approaches
- grammar guided genetic programming
- feature selection
- feature set
- pattern recognition
- wavelet transform
- texture features
- face recognition
- feature extraction and classification
- feature space
- extracted features
- artificial neural networks
- texture analysis
- discriminant analysis
- classification rules
- support vector machine svm
- gabor filters
- hyper heuristics
- differential evolution
- machine learning
- ear biometrics
- neural network