Conditional probability density function estimation with sigmoidal neural networks.
Amir SarajediniRobert Hecht-NielsenPaul M. ChauPublished in: IEEE Trans. Neural Networks (1999)
Keyphrases
- probability density function
- parzen window
- neural network
- density estimation
- probability density
- kernel density estimation
- probability distribution
- activation function
- density function
- kullback leibler divergence
- bhattacharyya distance
- statistical methods
- pattern recognition
- image processing
- bayesian framework
- gaussian mixture model
- pattern classification
- maximum likelihood estimation
- mixture model
- em algorithm
- expectation maximization
- low dimensional
- back propagation
- knowledge discovery
- nonparametric estimation