Maximum likelihood neural approximation in presence of additive colored noise.
Shahram HosseiniChristian JuttenPublished in: IEEE Trans. Neural Networks (2002)
Keyphrases
- maximum likelihood
- additive noise
- parameter estimation
- neural network
- increase in computational complexity
- em algorithm
- noise level
- maximum likelihood estimator
- network architecture
- noisy data
- log likelihood function
- random noise
- error bounds
- noise reduction
- gaussian noise
- approximation error
- gaussian distribution
- missing data
- biologically inspired
- noise model
- noisy environments
- image processing
- reinforcement learning
- low signal to noise ratio
- likelihood function
- image noise
- np hard
- approximation algorithms
- signal to noise ratio