Revisiting statistical learning theory for uncertain feasibility and optimization problems.
Teodoro AlamoRoberto TempoEduardo F. CamachoPublished in: CDC (2007)
Keyphrases
- statistical learning theory
- optimization problems
- statistical learning
- theoretical framework
- support vector machine
- evolutionary algorithm
- machine learning
- supervised classification
- inductive inference
- learning problems
- active learning
- kernel machines
- vc dimension
- decision making
- objective function
- granular computing
- multi class
- neural network
- binary classification problems
- feature selection
- similarity measure
- supervised learning
- fuzzy logic
- upper bound
- data analysis