Local Selection of Model Parameters in Probability Density Function Estimation.
Ezequiel López-RubioJuan Miguel Ortiz-de-Lazcano-LobatoDomingo López-RodríguezEnrique Mérida CasermeiroMaría del Carmen Vargas-GonzálezPublished in: ICANN (2) (2006)
Keyphrases
- probability density function
- parzen window
- density estimation
- probability density
- kernel density estimation
- density function
- probability distribution
- bayesian framework
- em algorithm
- kullback leibler divergence
- statistical methods
- bhattacharyya distance
- gaussian mixture model
- mixture model
- expectation maximization
- maximum likelihood estimation
- low dimensional
- mutual information
- parameter estimation
- pattern classification
- estimation error
- selection criterion
- machine learning