Least squares approximations in linear statistical inverse learning problems.
Tapio HelinPublished in: CoRR (2022)
Keyphrases
- learning problems
- least squares
- learning tasks
- machine learning algorithms
- supervised learning
- kernel methods
- linear model
- learning algorithm
- semi supervised learning
- machine learning
- policy evaluation
- computational learning theory
- sample complexity
- linear functions
- pac learning
- information theoretic
- reinforcement learning
- multi task
- upper bound
- optical flow
- kernel based learning
- probabilistic model
- active learning
- convex optimization problems
- feature extraction