Neural Networks for Predicting Conditional Probability Densities: Improved Training Scheme Combining EM and RVFL.
Dirk HusmeierJohn G. TaylorPublished in: Neural Networks (1998)
Keyphrases
- probability density
- neural network
- density estimation
- training process
- gaussian mixture model
- mixture of gaussians
- maximum likelihood estimation
- density estimates
- gaussian mixture
- pattern recognition
- expectation maximization
- probability density function
- nonparametric estimation
- mixture model
- em algorithm
- maximum likelihood
- image segmentation
- random variables
- density function
- training set
- machine learning
- back propagation
- supervised learning
- nearest neighbor
- probability distribution
- training data
- clustering algorithm
- image processing