Handling High-Dimensional Regression Problems by Means of an Efficient Multi-Objective Evolutionary Algorithm.
María José GactoRafael AlcaláFrancisco HerreraPublished in: ISDA (2009)
Keyphrases
- regression problems
- high dimensional
- multi objective evolutionary algorithms
- high dimensional data
- input space
- genetic programming
- linear regression
- cross validation
- low dimensional
- multi objective
- nearest neighbor
- fitness function
- dimensionality reduction
- random forests
- neural network
- multi objective optimization
- similarity search
- data sets
- differential evolution
- nsga ii
- learning machines
- feature selection
- lower bound
- least squares
- support vector machine
- data points
- feature space
- random forest
- evolutionary algorithm
- search space
- multi criteria
- bi objective
- artificial neural networks