On Neural Estimators for Conditional Mutual Information Using Nearest Neighbors Sampling.
Sina MolavipourGermán BassiMikael SkoglundPublished in: CoRR (2020)
Keyphrases
- conditional mutual information
- nearest neighbor
- mutual information
- neural network
- k nearest neighbor
- sampled data
- network architecture
- selection criterion
- knn
- neural model
- data points
- variance reduction
- high dimensional data
- sample size
- random sampling
- high dimensional spaces
- unbiased estimator
- monte carlo
- training set
- decision boundary
- nearest neighbor search
- similarity measure
- nearest neighbor algorithm
- feature selection
- sampling algorithm
- pattern classification
- image registration
- genetic algorithm
- machine learning