Probabilistic Bounds for Approximation by Neural Networks.
Vera KurkováPublished in: ICANN (1) (2019)
Keyphrases
- neural network
- error bounds
- error tolerance
- pattern recognition
- stage stochastic programs
- approximation methods
- upper bound
- worst case
- upper and lower bounds
- approximation algorithms
- uncertain data
- back propagation
- closed form
- probabilistic logic
- multi layer
- generative model
- probabilistic model
- fuzzy logic
- neural network model
- feed forward
- posterior probability
- fuzzy systems
- artificial neural networks
- bayesian networks
- genetic algorithm
- multilayer perceptron
- sufficient conditions
- probability distribution
- fault diagnosis
- vc dimension
- special case
- lower bound
- rate distortion theory