Nearest Empirical Distribution: An Asymptotically Optimal Algorithm For Supervised Classification of Data Vectors with Independent Non-Identically Distributed Elements.
Farzad ShahrivariNikola ZlatanovPublished in: CoRR (2020)
Keyphrases
- noisy data
- asymptotically optimal
- supervised classification
- data sets
- dynamic programming
- learning algorithm
- identically distributed
- training data
- worst case
- machine learning
- varying degrees
- bayesian framework
- expectation maximization
- prior information
- clustering method
- supervised learning
- em algorithm
- object recognition
- computational complexity
- image segmentation
- image processing
- computer vision
- neural network