Probability Density Function Estimation Using Orthogonal Forward Regression.
Sheng ChenXia HongChris J. HarrisPublished in: IJCNN (2007)
Keyphrases
- probability density function
- parzen window
- density estimation
- probability density
- kernel density estimation
- density function
- probability distribution
- semi parametric
- bhattacharyya distance
- kullback leibler divergence
- statistical methods
- mixture model
- bayesian framework
- gaussian mixture model
- expectation maximization
- model selection
- em algorithm
- maximum likelihood estimation
- low dimensional
- least squares
- estimation error
- fisher information
- neural network
- von mises
- distance function
- parameter estimation
- knn
- query processing
- pattern recognition
- decision trees