Learning with Known Operators reduces Maximum Training Error Bounds.
Andreas K. MaierChristopher SybenBernhard StimpelTobias WürflMathis HoffmannFrank SchebeschWeilin FuLeonid MillLasse KlingSilke H. ChristiansenPublished in: CoRR (2019)
Keyphrases
- error bounds
- learning systems
- motor skills
- online learning
- supervised learning
- learning process
- reinforcement learning
- feedforward neural networks
- learning algorithm
- learning speed
- worst case
- finite sample
- radial basis function network
- machine learning
- theoretical analysis
- unsupervised learning
- knowledge acquisition
- learning scenarios
- inductive inference
- training data
- structured prediction
- learning stage