Bias Reduction of the Nearest Neighbor Entropy Estimator.
Alexei KaltchenkoNina TimofeevaEugeny A. TimofeevPublished in: Int. J. Bifurc. Chaos (2008)
Keyphrases
- nearest neighbor
- variance reduction
- k nearest neighbor
- knn
- high dimensional data
- maximum likelihood
- high dimensional
- least squares
- nearest neighbor search
- information theory
- distance function
- mutual information
- maximum a posteriori
- information theoretic
- data points
- nearest neighbor queries
- training set
- nearest neighbor algorithm
- classification rules
- bias variance
- data sets
- variance estimator
- similarity search
- monte carlo
- importance sampling
- information entropy
- trade off
- data structure
- error estimation
- image segmentation
- shannon entropy
- machine learning
- reverse nearest neighbor
- neural network