Learning Additive Noise Channels: Generalization Bounds and Algorithms.
Nir WeinbergerPublished in: ISIT (2020)
Keyphrases
- learning algorithm
- additive noise
- generalization bounds
- data dependent
- learning problems
- computational complexity
- supervised learning
- theoretical analysis
- generalization ability
- kernel machines
- learning machines
- probability distribution
- input image
- maximum likelihood
- model selection
- spatial domain
- statistical learning
- reinforcement learning
- machine learning