An overview of statistical learning theory.
Vladimir VapnikPublished in: IEEE Trans. Neural Networks (1999)
Keyphrases
- statistical learning theory
- statistical learning
- theoretical framework
- support vector machine
- learning problems
- machine learning
- supervised classification
- kernel machines
- inductive inference
- vc dimension
- granular computing
- active learning
- high dimensional
- data sets
- decision trees
- binary classification problems
- support vector
- knn
- image compression
- kernel methods
- data analysis