Finite Sample Deviation and Variance Bounds for First Order Autoregressive Processes.
Rodrigo A. GonzálezCristian R. RojasPublished in: ICASSP (2020)
Keyphrases
- finite sample
- autoregressive
- sample size
- uniform convergence
- statistical learning theory
- non stationary
- error bounds
- nearest neighbor
- random fields
- parzen window
- generalization bounds
- higher order
- sar images
- theoretical framework
- generalization error
- model selection
- learning rate
- upper bound
- vc dimension
- sufficient conditions
- real valued
- learning algorithm
- sample complexity
- kernel machines
- graphical models
- large deviations
- risk minimization
- worst case
- support vector machine