Generalization and Estimation Error Bounds for Model-based Neural Networks.
Avner ShultzmanEyar AzarMiguel R. D. RodriguesYonina C. EldarPublished in: CoRR (2023)
Keyphrases
- estimation error
- neural network
- estimation accuracy
- standard deviation
- generalization bounds
- pattern recognition
- upper bound
- lower bound
- average error
- error rate
- worst case
- multilayer perceptron
- artificial neural networks
- fuzzy logic
- approximation error
- training error
- pac bayes
- back propagation
- step size
- neural network model
- covariance matrix
- upper and lower bounds
- learning machines
- lower and upper bounds
- feed forward
- data dependent
- training algorithm
- generalization ability
- error bounds
- model selection
- evolutionary algorithm
- multiscale
- computer vision