Feature extraction from optimization samples via ensemble based symbolic regression.
Kalyan VeeramachaneniEkaterina VladislavlevaUna-May O'ReillyPublished in: Ann. Math. Artif. Intell. (2011)
Keyphrases
- symbolic regression
- feature extraction
- genetic programming
- parameter optimization
- optimization algorithm
- gene expression programming
- feature selection
- training set
- regression problems
- data sets
- optimization methods
- principal component analysis
- training samples
- random forest
- feature space
- face recognition
- ensemble learning
- image classification
- ensemble methods
- differential evolution
- fitness function
- support vector machine svm
- feature set
- open source
- computational intelligence
- feature vectors
- high dimensional
- genetic algorithm
- neural network