Theoretical bounds on estimation error for meta-learning.
James LucasMengye RenIrene Raissa KameniToniann PitassiRichard S. ZemelPublished in: ICLR (2021)
Keyphrases
- meta learning
- estimation error
- inductive learning
- learning tasks
- model selection
- error rate
- decision trees
- machine learning algorithms
- average error
- standard deviation
- machine learning
- upper bound
- data mining
- covariance matrix
- lower bound
- step size
- feature selection
- worst case
- metamodel
- base classifiers
- multi class
- knowledge acquisition
- active learning
- support vector
- reinforcement learning
- image processing
- learning algorithm