Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint.
Sylvain GellyOlivier TeytaudNicolas BredècheMarc SchoenauerPublished in: Rev. d'Intelligence Artif. (2006)
Keyphrases
- genetic programming
- statistical learning theory
- theoretical considerations
- viewpoint
- symbolic regression
- statistical learning
- machine learning
- theoretical framework
- support vector machine
- learning problems
- supervised classification
- evolutionary computation
- fitness function
- kernel machines
- regression problems
- inductive inference
- grammar guided genetic programming
- gene expression programming
- vc dimension
- evolutionary algorithm
- active learning
- granular computing
- learning algorithm
- genetic algorithm
- kernel methods
- computational intelligence
- worst case
- binary classification problems
- neural network