Minimum-entropy, PDF approximation, and kernel selection for measurement estimation.
José Ismael de la Rosa VargasGilles FleuryMarie-Eve DavoustPublished in: IEEE Trans. Instrum. Meas. (2003)
Keyphrases
- probability density function
- parzen window
- kernel density estimation
- estimation accuracy
- pre selected
- update equations
- kernel function
- importance sampling
- kernel methods
- error bounds
- selection algorithm
- density estimation
- selection criterion
- approximation methods
- estimation error
- probability distribution
- approximation algorithms
- kernel density
- approximation error
- graph kernels
- probability distribution functions
- kernel regression
- polynomial kernels
- maximum likelihood estimation
- accurate estimation
- probability density
- robust estimation
- neural network
- estimation algorithm
- closed form
- parameter estimation
- mixture model
- graphical models
- feature space
- support vector
- bayesian networks