Generalization and Estimation Error Bounds for Model-based Neural Networks.
Avner ShultzmanEyar AzarMiguel R. D. RodriguesYonina C. EldarPublished in: ICLR (2023)
Keyphrases
- estimation error
- neural network
- pattern recognition
- estimation accuracy
- average error
- generalization bounds
- standard deviation
- error rate
- covariance matrix
- back propagation
- lower bound
- upper bound
- neural network model
- approximation error
- learning machines
- artificial neural networks
- pac bayes
- genetic algorithm
- step size
- neural nets
- upper and lower bounds
- fuzzy logic
- training algorithm
- lower and upper bounds
- worst case
- training error
- error bounds
- self organizing maps