Statistical learning theory and Occam's razor: The argument from empirical risk minimization.
Tom F. SterkenburgPublished in: CoRR (2023)
Keyphrases
- empirical risk minimization
- statistical learning theory
- statistical learning
- support vector machine
- theoretical framework
- supervised classification
- learning problems
- vc dimension
- uniform convergence
- machine learning
- kernel machines
- inductive inference
- generalization bounds
- active learning
- granular computing
- theoretical analysis
- supervised learning
- learning machines
- support vector
- empirical risk
- feature extraction