Effective Input Variable Selection for Function Approximation.
Luis Javier HerreraHéctor PomaresIgnacio RojasMichel VerleysenAlberto GuillénPublished in: ICANN (1) (2006)
Keyphrases
- function approximation
- variable selection
- input variables
- reinforcement learning
- cross validation
- radial basis function
- temporal difference learning algorithms
- model selection
- learning tasks
- dimension reduction
- high dimensional
- temporal difference
- artificial neural networks
- function approximators
- high dimensional data
- text classification
- text mining
- e learning
- neural network