Approximation with random bases: Pro et Contra.
Alexander N. GorbanIvan Yu. TyukinDanil V. ProkhorovKonstantin I. SofeikovPublished in: Inf. Sci. (2016)
Keyphrases
- central limit theorem
- error bounds
- approximation error
- approximation algorithms
- closed form
- approximation ratio
- approximation methods
- databases
- decision trees
- artificial intelligence
- bayesian networks
- upper bound
- image processing
- information systems
- greedy algorithm
- search engine
- randomly generated
- efficient computation
- continuous functions
- learning algorithm
- machine learning
- approximation schemes
- real world