Use and Subtleties of Saddlepoint Approximation for Minimum Mean-Square Error Estimation.
Thomas BeierholmAlbert H. NuttallLars Kai HansenPublished in: IEEE Trans. Inf. Theory (2008)
Keyphrases
- error estimation
- error estimates
- model selection
- sufficient conditions
- error bounds
- cross validation
- support vector machine
- generalization error
- efficient computation
- closed form
- square error
- neural network
- min sum
- constant factor
- approximation methods
- approximation error
- relative error
- minimum cost
- graphical models
- active learning
- lower bound
- machine learning