Statistical Learning Theory for Control: A Finite Sample Perspective.
Anastasios TsiamisIngvar M. ZiemannNikolai MatniGeorge J. PappasPublished in: CoRR (2022)
Keyphrases
- statistical learning theory
- finite sample
- statistical learning
- theoretical framework
- support vector machine
- machine learning
- uniform convergence
- supervised classification
- learning problems
- sample size
- inductive inference
- kernel machines
- vc dimension
- generalization bounds
- active learning
- granular computing
- error bounds
- upper bound
- rough sets
- supervised learning
- feature selection